Stay Point Detection Algorithm Testing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Notebook to test the effectiveness of the Stay Point Detection Algorithm (SPDA) <a name=\"top\"></a>\n",
    "\n",
    "This algorithm was proposed by Microsoft and modified by a group of researchers from China ([link to research paper](https://github.com/tyqiangz/Trajectory-Data-Mining/blob/master/Useful%20Research%20Materials/Stay%20Point%20Analysis%20in%20Automatic%20Identification%20System%20Trajectory%20Data.pdf)) to detect regions (called **stay points**) from a dataset of records with `timestamp`, `latitude`, `longitude` variables. Stay points are regions where moving objects are relatively stationary within a region of size not more than `distThres` metres, have stayed there for at least `timeThres` seconds and have at least `minPoints` number of geolocation records consecutively recorded in that region.\n",
    "\n",
    "For details of the algorithm, read Section 4.2. of the paper or read the code [below](#SPDA).\n",
    "\n",
    "<hr></hr>\n",
    "\n",
    "The researchers have proposed to set the parameters as `distThres=200, timeThres=30*60, minPoints=50`. Depending on the density of the geolocation records, these parameters may not be optimal. In this notebook I list down what kind of travelling patterns will have stay points detected, which doesn't get detected."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Visualisations of common scenarios where SPDA is accurate:**\n",
    "\n",
    "- [Scenario #1](#scenario1): The object moved then stayed completely stationary for a while, then moved away. 1 stay point detected.\n",
    "- [Scenario #2](#scenario2): The object moved then loitered around a few buildings for a while, then moved away. 1 stay point detected.\n",
    "- [Scenario #3](#scenario3): The object is jumping back and forth over a large distance. No stay point detected.\n",
    "- [Scenario #4](#scenario4): The object is jumping back and forth along a road. 1 stay point detected.\n",
    "- [Scenario #5](#scenario5): The object is jumping around in a square shape pattern over a large distance. No stay point detected.\n",
    "- [Scenario #6](#scenario6): The object is jumping around in a square shape pattern over a small distance. 1 stay point detected.\n",
    "- [Scenario #7](#scenario7): The object is moving in a straight line over a distance over a distance just above `dist_thres`. _ stay point detected.\n",
    "- [Scenario #8](#scenario8): The object moved then loitered around a few buildings for a while, then moved away and jumped back and forth over a large distance. 1 stay point detected.\n",
    "- [Scenario #9](#scenario9): The object is moving in a straight line then loitered around a few buildings for a while. 1 stay point detected.\n",
    "\n",
    "**Bonus**\n",
    "- [Bonus scenario](#bonus_scenario): The object is a college student from Tsinghua university. The dataset is contributed by [Microsoft GeoLife](https://www.microsoft.com/en-us/research/publication/geolife-gps-trajectory-dataset-user-guide/).\n",
    "\n",
    "<hr> </hr>\n",
    "\n",
    "**Plotting style for all plots:**\n",
    "- Start point: Blue marker\n",
    "- End point: Blue marker\n",
    "- Stay point: Blue circle\n",
    "- All other points: Black circle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from statistics import mean, median\n",
    "from math import radians, cos, sin, asin, sqrt\n",
    "from datetime import datetime, timedelta\n",
    "import folium\n",
    "from folium import plugins\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following is the **Stay Point Detection Algorithm** and some auxiliary functions that SPDA relies on. <a name=\"SPDA\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "def haversine(lon1, lat1, lon2, lat2):\n",
    "    \"\"\"\n",
    "    Calculate the great circle distance (in metres) between two points on the earth (specified in decimal degrees)\n",
    "    \n",
    "    :param lon1: longitude of point 1\n",
    "    :param lat1: longitude of point 1\n",
    "    :param lon2: longitude of point 2\n",
    "    :param lat2: longitude of point 2\n",
    "    :return: the distance between (lon1, lat1) and (lon2, lat2), in metres\n",
    "    \"\"\"\n",
    "    # convert decimal degrees to radians \n",
    "    lon1, lat1, lon2, lat2 = map(radians, [lon1, lat1, lon2, lat2])\n",
    "\n",
    "    # haversine formula \n",
    "    dlon = lon2 - lon1 \n",
    "    dlat = lat2 - lat1 \n",
    "    a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlon/2)**2\n",
    "    c = 2 * asin(sqrt(a)) \n",
    "    r = 6378.1 # Radius of earth in kilometers. Use 3956 for miles\n",
    "    return c * r * 1000\n",
    "\n",
    "class stayPoint:\n",
    "    def __init__(self, arrivalTime, departTime, startIndex, endIndex, location):\n",
    "        '''\n",
    "        :param arrivalTime: The time when the moving object arrived at this stay point.\n",
    "        :param departTime: The time when the moving object departed this stay point.\n",
    "        :param startIndex: The index in the object's trajectory dataset corresponding to `arrivalTime`.\n",
    "        :param endIndex: The index in the object's trajectory dataset corresponding to `departTime`.\n",
    "        :param location: The [`lon`, `lat`] values corresponding to the location of this stay point.\n",
    "        '''\n",
    "        self.arrivalTime = arrivalTime\n",
    "        self.departTime = departTime\n",
    "        self.startIndex = startIndex\n",
    "        self.endIndex = endIndex\n",
    "        self.location = location\n",
    "        \n",
    "    def toString(self):\n",
    "        '''\n",
    "        prints all the information about this stay point.\n",
    "        '''\n",
    "        print(f\"(arrivalTime: {self.arrivalTime}, departTime: {self.departTime}, startIndex: {self.startIndex}, \"+\n",
    "            f\"endIndex: {self.endIndex}, location: {self.location})\")\n",
    "        \n",
    "def SPDA(traj, distThres=200, timeThres=30*60, minPoints=50):\n",
    "    '''\n",
    "    :param traj: a dataframe with `lat`, `lon` and `time` variables\n",
    "    :param distThres: a threshold of the distance (in metres)\n",
    "    :param timeThres: a threshold of the time (in seconds)\n",
    "    :param minPoints: the minimum no. of points required in a stay-point region\n",
    "    :output: a list of stay-points\n",
    "    '''\n",
    "    def distance(pointA, pointB):\n",
    "        '''\n",
    "        :param pointA: a point with lat and lon variables\n",
    "        :param pointB: a point with lat and lon variables\n",
    "        :return: the distance between pointA and pointB calculated by Haversine formula\n",
    "        '''\n",
    "        return haversine(pointA.lon, pointA.lat, pointB.lon, pointB.lat)\n",
    "    \n",
    "    def getCentroid(points, centroid_type):\n",
    "        '''\n",
    "        :param points: a list of points with lat and lon variables\n",
    "        :param centroid_type: \"median\" or \"mean\"\n",
    "        :return: the centre of the list of points, calculated by centroid_type function\n",
    "        '''\n",
    "#         print(\"centroid points:\\n\", points)\n",
    "        if centroid_type == \"median\":\n",
    "            return [median(points.loc[:,\"lon\"]), median(points.loc[:,\"lat\"])]\n",
    "        elif centroid_type == \"mean\":\n",
    "            return [mean(points.loc[:,\"lon\"]), mean(points.loc[:,\"lat\"])]\n",
    "        \n",
    "    i = 0\n",
    "    pointNum = len(traj)\n",
    "    stayPoints = []\n",
    "    \n",
    "    while i < pointNum:\n",
    "        j = i+1\n",
    "        token = 0\n",
    "        while j < pointNum:\n",
    "            print(\"Analysing point: \" + str(j) + \" \"*10, \"\\r\", end=\"\")\n",
    "            dist = distance(traj.iloc[j,:], traj.iloc[i,:])\n",
    "            if dist > distThres:\n",
    "                print(f\"({i}, {j}): distance > {distThres}\")\n",
    "                timeDiff = (traj.time[j] - traj.time[i]).total_seconds()\n",
    "                \n",
    "                print(f\"({timeDiff},{j-i})\")\n",
    "                if (timeDiff > timeThres) and (j-i >= minPoints):\n",
    "                    print(f\"stay point found\")\n",
    "                    centroid = getCentroid(traj.loc[i:(j-1),:], \"median\")\n",
    "                    stayPoints.append(\n",
    "                        stayPoint(\n",
    "                            arrivalTime = traj.time[i], \n",
    "                            departTime = traj.time[j], \n",
    "                            startIndex = i,\n",
    "                            endIndex = j,\n",
    "                            location = centroid\n",
    "                        )\n",
    "                    )\n",
    "                    \n",
    "                    i = j\n",
    "                    token = 1\n",
    "                break\n",
    "            j += 1\n",
    "            \n",
    "        if token != 1:\n",
    "            i += 1\n",
    "            \n",
    "    return stayPoints"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A function to make plotting more convenient. \n",
    "\n",
    "I am using the `folium.plugins.TimestampedGeoJson` function to animate the travel history and stay points. `folium.plugins.TimestampedGeoJson` takes in a [GeoJson](https://en.wikipedia.org/wiki/GeoJSON) object with timestamps as input and returns an animation of the travel."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot(traj, stayPoints, zoom_start=10, period='PT1M', add_last_point=True):\n",
    "    '''\n",
    "    :param traj: a dataframe with variables `time`, `lat`, `lon`\n",
    "    :param stayPoints: a list of objects of `stayPoint` class\n",
    "    :param zoom_start: integer between 0 and 18, determines how much you want to zoom into the map, 18 is the maximum you can zoom in.\n",
    "    :param period: the period of the animation, default is 1 minute.\n",
    "    :return m: an animation of the travel history and the stay points.\n",
    "        Legend: \n",
    "            stay point: blue circle\n",
    "            start point: blue marker\n",
    "            end point: blue marker\n",
    "            other points: black circle\n",
    "    '''\n",
    "    \n",
    "    m = folium.Map(location=[traj.lat[0], traj.lon[0]], zoom_start=zoom_start)\n",
    "    \n",
    "    features = []\n",
    "    \n",
    "    startingFeature = {\n",
    "        \"type\": \"Feature\",\n",
    "        \"geometry\": {\n",
    "            \"type\": \"Point\",\n",
    "            'coordinates': [traj.lon[0], traj.lat[0]]\n",
    "        },\n",
    "        \"properties\": {\n",
    "            \"time\": str(traj.time[0]),\n",
    "            \"icon\": \"Marker\",\n",
    "            \"style\": {\"color\": \"green\"}\n",
    "        }\n",
    "    }\n",
    "    \n",
    "    features.append(startingFeature)\n",
    "    \n",
    "    endingFeature = {\n",
    "        \"type\": \"Feature\",\n",
    "        \"geometry\": {\n",
    "            \"type\": \"Point\",\n",
    "            'coordinates': [traj.lon[len(traj)-1], traj.lat[len(traj)-1]]\n",
    "        },\n",
    "        \"properties\": {\n",
    "            \"time\": str(traj.time[len(traj)-1]),\n",
    "            \"icon\": \"Marker\",\n",
    "            \"style\": {\"color\": \"red\"}\n",
    "        }\n",
    "    }\n",
    "    \n",
    "    for i in range(1, len(traj)-1):\n",
    "        feature = {\n",
    "            \"type\": \"Feature\",\n",
    "            \"geometry\": {\n",
    "                \"type\": \"Point\",\n",
    "                'coordinates': [traj.lon[i], traj.lat[i]]\n",
    "            },\n",
    "            \"properties\": {\n",
    "                \"time\": str(traj.time[i]),\n",
    "                \"icon\": \"circle\",\n",
    "                \"style\": {\"color\": \"black\"}\n",
    "            }\n",
    "        }\n",
    "        features.append(feature)\n",
    "    \n",
    "    features.append(endingFeature)\n",
    "    \n",
    "    \n",
    "    for stayPoint in stayPoints:\n",
    "        feature = {\n",
    "            \"type\": \"Feature\",\n",
    "            \"geometry\": {\n",
    "                \"type\": \"Point\",\n",
    "                \"coordinates\": [stayPoint.location[0], stayPoint.location[1]]\n",
    "            },\n",
    "            \"properties\": {\n",
    "                \"time\": str(stayPoint.arrivalTime),\n",
    "                \"icon\": \"circle\",\n",
    "                \"style\": {\"color\": \"blue\"}\n",
    "            }\n",
    "        }\n",
    "        features.append(feature)\n",
    "    \n",
    "    plugins.TimestampedGeoJson({\n",
    "        'type': 'FeatureCollection',\n",
    "        'features': features,\n",
    "    }, period=period, add_last_point=False, loop=False, auto_play=False).add_to(m)\n",
    "    \n",
    "    # adds a fullscreen button at the 'topright' corner of the plot\n",
    "    plugins.Fullscreen(position='topright').add_to(m)\n",
    "    \n",
    "    return m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All travel histories start at 2020 Jan 1st. You can change it to whatever date you want."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "STARTDATE = datetime(2020, 1, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scenario 1 <a name=\"scenario1\"></a>\n",
    "\n",
    "The object moved then **stayed stationary** for a while, then moved away, **1 STAY POINT DETECTED**.\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "traj = pd.DataFrame(columns=[\"time\", \"lat\", \"lon\"])\n",
    "\n",
    "traj.loc[0, :] = [STARTDATE, 1.3521, 103.8198]\n",
    "\n",
    "for i in range(1, 60):\n",
    "    randSmallNums = np.random.uniform(low=0, high=0, size=2)\n",
    "    traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4927+randSmallNums[0], 103.7414+randSmallNums[1]]\n",
    "    \n",
    "traj.loc[60, :]  = [traj.time[60-1] + timedelta(seconds=60), 1.5021, 104]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-01 00:00:00</td>\n",
       "      <td>1.3521</td>\n",
       "      <td>103.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-01 00:01:00</td>\n",
       "      <td>1.4927</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-01 00:02:00</td>\n",
       "      <td>1.4927</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-01 00:03:00</td>\n",
       "      <td>1.4927</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-01 00:04:00</td>\n",
       "      <td>1.4927</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  time     lat      lon\n",
       "0  2020-01-01 00:00:00  1.3521   103.82\n",
       "1  2020-01-01 00:01:00  1.4927  103.741\n",
       "2  2020-01-01 00:02:00  1.4927  103.741\n",
       "3  2020-01-01 00:03:00  1.4927  103.741\n",
       "4  2020-01-01 00:04:00  1.4927  103.741"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traj.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2020-01-01 00:56:00</td>\n",
       "      <td>1.4927</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2020-01-01 00:57:00</td>\n",
       "      <td>1.4927</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2020-01-01 00:58:00</td>\n",
       "      <td>1.4927</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2020-01-01 00:59:00</td>\n",
       "      <td>1.4927</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2020-01-01 01:00:00</td>\n",
       "      <td>1.5021</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   time     lat      lon\n",
       "56  2020-01-01 00:56:00  1.4927  103.741\n",
       "57  2020-01-01 00:57:00  1.4927  103.741\n",
       "58  2020-01-01 00:58:00  1.4927  103.741\n",
       "59  2020-01-01 00:59:00  1.4927  103.741\n",
       "60  2020-01-01 01:00:00  1.5021      104"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traj.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analysing point: 1           \r",
      "Analysing point: 2           \r",
      "Analysing point: 3           \r",
      "Analysing point: 4           \r",
      "Analysing point: 5           \r",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "(arrivalTime: 2020-01-01 00:01:00, departTime: 2020-01-01 01:00:00, startIndex: 1, endIndex: 60, location: [103.7414, 1.4927])\n"
     ]
    }
   ],
   "source": [
    "stayPoints = SPDA(traj)\n",
    "for point in stayPoints:\n",
    "    point.toString()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_7b9a8becb77f424a94476eba5dc9ff01 {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.0/jquery.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jqueryui/1.10.2/jquery-ui.min.js"></script>
    <script src="https://rawcdn.githack.com/nezasa/iso8601-js-period/master/iso8601.min.js"></script>
    <script src="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.4/styles/default.min.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.control.min.css"/>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.18.1/moment.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.css"/>
</head>
<body>    
    
            <div class="folium-map" id="map_7b9a8becb77f424a94476eba5dc9ff01" ></div>
        
</body>
<script>    
    
            var map_7b9a8becb77f424a94476eba5dc9ff01 = L.map(
                "map_7b9a8becb77f424a94476eba5dc9ff01",
                {
                    center: [1.3521, 103.8198],
                    crs: L.CRS.EPSG3857,
                    zoom: 11,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_a7622005dbf44039aba129391aa3e12d = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_7b9a8becb77f424a94476eba5dc9ff01);
        
    
            L.Control.TimeDimensionCustom = L.Control.TimeDimension.extend({
                _getDisplayDateFormat: function(date){
                    var newdate = new moment(date);
                    console.log(newdate)
                    return newdate.format("YYYY-MM-DD HH:mm:ss");
                }
            });
            map_7b9a8becb77f424a94476eba5dc9ff01.timeDimension = L.timeDimension(
                {
                    period: "PT1M",
                }
            );
            var timeDimensionControl = new L.Control.TimeDimensionCustom(
                {"autoPlay": false, "loopButton": false, "maxSpeed": 10, "minSpeed": 0.1, "playerOptions": {"loop": false, "startOver": true, "transitionTime": 200}, "position": "bottomleft", "timeSliderDragUpdate": false}
            );
            map_7b9a8becb77f424a94476eba5dc9ff01.addControl(this.timeDimensionControl);

            var geoJsonLayer = L.geoJson({"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.8198, 1.3521]}, "properties": {"time": "2020-01-01 00:00:00", "icon": "Marker", "style": {"color": "green"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:01:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:02:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:03:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:04:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:05:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:06:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:07:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:08:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:09:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:10:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:11:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:12:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:13:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:14:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:15:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:16:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:17:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:18:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:19:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:20:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:21:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:22:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:23:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:24:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:25:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:26:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:27:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:28:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:29:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:30:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:31:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:32:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:33:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:34:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:35:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:36:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:37:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:38:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:39:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:40:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:41:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:42:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:43:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:44:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:45:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:46:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:47:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:48:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:49:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:50:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:51:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:52:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:53:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:54:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:55:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:56:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:57:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:58:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:59:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [104, 1.5021]}, "properties": {"time": "2020-01-01 01:00:00", "icon": "Marker", "style": {"color": "red"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414, 1.4927]}, "properties": {"time": "2020-01-01 00:01:00", "icon": "circle", "style": {"color": "blue"}}}]}, {
                    pointToLayer: function (feature, latLng) {
                        if (feature.properties.icon == 'marker') {
                            if(feature.properties.iconstyle){
                                return new L.Marker(latLng, {
                                    icon: L.icon(feature.properties.iconstyle)});
                            }
                            //else
                            return new L.Marker(latLng);
                        }
                        if (feature.properties.icon == 'circle') {
                            if (feature.properties.iconstyle) {
                                return new L.circleMarker(latLng, feature.properties.iconstyle)
                                };
                            //else
                            return new L.circleMarker(latLng);
                        }
                        //else

                        return new L.Marker(latLng);
                    },
                    style: function (feature) {
                        return feature.properties.style;
                    },
                    onEachFeature: function(feature, layer) {
                        if (feature.properties.popup) {
                        layer.bindPopup(feature.properties.popup);
                        }
                    }
                })

            var timestamped_geo_json_85ff7e64a9cb4921a738cec6e373d746 = L.timeDimension.layer.geoJson(
                geoJsonLayer,
                {
                    updateTimeDimension: true,
                    addlastPoint: false,
                    duration: undefined,
                }
            ).addTo(map_7b9a8becb77f424a94476eba5dc9ff01);
        
    
            L.control.fullscreen(
                {"forceSeparateButton": false, "position": "topright", "title": "Full Screen", "titleCancel": "Exit Full Screen"}
            ).addTo(map_7b9a8becb77f424a94476eba5dc9ff01);
        
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x17fcd589fa0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot(traj, stayPoints, zoom_start=11)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scenario 2 <a name=\"scenario2\"></a>\n",
    "\n",
    "The object moved then **loitered around a few buildings** for a while, then moved away. **1 STAY POINT DETECTED**\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "traj = pd.DataFrame(columns=[\"time\", \"lat\", \"lon\"])\n",
    "\n",
    "traj.loc[0, :] = [STARTDATE, 1.4927, 103.75]\n",
    "\n",
    "for i in range(1, 60):\n",
    "    randSmallNums = np.random.uniform(low=0, high=0.001, size=2)\n",
    "    traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4927+randSmallNums[0], 103.7414+randSmallNums[1]]\n",
    "    \n",
    "traj.loc[60, :]  = [traj.time[60-1] + timedelta(seconds=60), 1.36, 103.71]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-01 00:00:00</td>\n",
       "      <td>1.4927</td>\n",
       "      <td>103.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-01 00:01:00</td>\n",
       "      <td>1.49308</td>\n",
       "      <td>103.742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-01 00:02:00</td>\n",
       "      <td>1.49364</td>\n",
       "      <td>103.742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-01 00:03:00</td>\n",
       "      <td>1.49334</td>\n",
       "      <td>103.742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-01 00:04:00</td>\n",
       "      <td>1.49306</td>\n",
       "      <td>103.742</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  time      lat      lon\n",
       "0  2020-01-01 00:00:00   1.4927   103.75\n",
       "1  2020-01-01 00:01:00  1.49308  103.742\n",
       "2  2020-01-01 00:02:00  1.49364  103.742\n",
       "3  2020-01-01 00:03:00  1.49334  103.742\n",
       "4  2020-01-01 00:04:00  1.49306  103.742"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traj.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2020-01-01 00:56:00</td>\n",
       "      <td>1.49323</td>\n",
       "      <td>103.742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2020-01-01 00:57:00</td>\n",
       "      <td>1.49351</td>\n",
       "      <td>103.742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2020-01-01 00:58:00</td>\n",
       "      <td>1.49295</td>\n",
       "      <td>103.742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2020-01-01 00:59:00</td>\n",
       "      <td>1.49333</td>\n",
       "      <td>103.742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2020-01-01 01:00:00</td>\n",
       "      <td>1.36</td>\n",
       "      <td>103.71</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   time      lat      lon\n",
       "56  2020-01-01 00:56:00  1.49323  103.742\n",
       "57  2020-01-01 00:57:00  1.49351  103.742\n",
       "58  2020-01-01 00:58:00  1.49295  103.742\n",
       "59  2020-01-01 00:59:00  1.49333  103.742\n",
       "60  2020-01-01 01:00:00     1.36   103.71"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traj.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(arrivalTime: 2020-01-01 00:01:00, departTime: 2020-01-01 01:00:00, startIndex: 1, endIndex: 60, location: [103.74183126264909, 1.493203880168114])\n"
     ]
    }
   ],
   "source": [
    "stayPoints = SPDA(traj)\n",
    "for point in stayPoints:\n",
    "    point.toString()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_51950386c4924f83b45c1b2195f5489a {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.0/jquery.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jqueryui/1.10.2/jquery-ui.min.js"></script>
    <script src="https://rawcdn.githack.com/nezasa/iso8601-js-period/master/iso8601.min.js"></script>
    <script src="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.4/styles/default.min.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.control.min.css"/>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.18.1/moment.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.css"/>
</head>
<body>    
    
            <div class="folium-map" id="map_51950386c4924f83b45c1b2195f5489a" ></div>
        
</body>
<script>    
    
            var map_51950386c4924f83b45c1b2195f5489a = L.map(
                "map_51950386c4924f83b45c1b2195f5489a",
                {
                    center: [1.4927, 103.75],
                    crs: L.CRS.EPSG3857,
                    zoom: 16,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_0be2e1723c12429ab6e39af9a1666916 = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_51950386c4924f83b45c1b2195f5489a);
        
    
            L.Control.TimeDimensionCustom = L.Control.TimeDimension.extend({
                _getDisplayDateFormat: function(date){
                    var newdate = new moment(date);
                    console.log(newdate)
                    return newdate.format("YYYY-MM-DD HH:mm:ss");
                }
            });
            map_51950386c4924f83b45c1b2195f5489a.timeDimension = L.timeDimension(
                {
                    period: "PT1M",
                }
            );
            var timeDimensionControl = new L.Control.TimeDimensionCustom(
                {"autoPlay": false, "loopButton": false, "maxSpeed": 10, "minSpeed": 0.1, "playerOptions": {"loop": false, "startOver": true, "transitionTime": 200}, "position": "bottomleft", "timeSliderDragUpdate": false}
            );
            map_51950386c4924f83b45c1b2195f5489a.addControl(this.timeDimensionControl);

            var geoJsonLayer = L.geoJson({"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75, 1.4927]}, "properties": {"time": "2020-01-01 00:00:00", "icon": "Marker", "style": {"color": "green"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74160855369273, 1.4930765553886884]}, "properties": {"time": "2020-01-01 00:01:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7416595630009, 1.4936354479222897]}, "properties": {"time": "2020-01-01 00:02:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74153758563799, 1.4933400614013985]}, "properties": {"time": "2020-01-01 00:03:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74226951205655, 1.493061818872562]}, "properties": {"time": "2020-01-01 00:04:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74154683766163, 1.4935534653197384]}, "properties": {"time": "2020-01-01 00:05:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7419370088092, 1.493326917062353]}, "properties": {"time": "2020-01-01 00:06:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74237093739714, 1.4935131159294353]}, "properties": {"time": "2020-01-01 00:07:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74156092191124, 1.4931665355610964]}, "properties": {"time": "2020-01-01 00:08:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74148984088193, 1.4935555992503793]}, "properties": {"time": "2020-01-01 00:09:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74165893107222, 1.4934001718139323]}, "properties": {"time": "2020-01-01 00:10:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74235800044919, 1.4931678697507327]}, "properties": {"time": "2020-01-01 00:11:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74193222529631, 1.4928737632806703]}, "properties": {"time": "2020-01-01 00:12:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74214365917263, 1.4934276722222288]}, "properties": {"time": "2020-01-01 00:13:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74223370297003, 1.4934540348316316]}, "properties": {"time": "2020-01-01 00:14:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74162679388667, 1.4936293571401333]}, "properties": {"time": "2020-01-01 00:15:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74171837030643, 1.4931347261764556]}, "properties": {"time": "2020-01-01 00:16:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74163934517532, 1.493593118109103]}, "properties": {"time": "2020-01-01 00:17:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74150757471996, 1.4927345646467765]}, "properties": {"time": "2020-01-01 00:18:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74206785116442, 1.4931404412825786]}, "properties": {"time": "2020-01-01 00:19:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74178075294094, 1.4930540476027776]}, "properties": {"time": "2020-01-01 00:20:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74150593012357, 1.4931446735670448]}, "properties": {"time": "2020-01-01 00:21:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7422493595149, 1.4935162107030293]}, "properties": {"time": "2020-01-01 00:22:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74157197981309, 1.4934928545828148]}, "properties": {"time": "2020-01-01 00:23:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7423953708057, 1.4933224801056912]}, "properties": {"time": "2020-01-01 00:24:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74175611303349, 1.4935196540686522]}, "properties": {"time": "2020-01-01 00:25:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7415692793506, 1.4932293989299827]}, "properties": {"time": "2020-01-01 00:26:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74215969792984, 1.4929270925832936]}, "properties": {"time": "2020-01-01 00:27:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7421950802823, 1.492810907014562]}, "properties": {"time": "2020-01-01 00:28:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74188963286339, 1.4930665611651086]}, "properties": {"time": "2020-01-01 00:29:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74155046568677, 1.492932184474293]}, "properties": {"time": "2020-01-01 00:30:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74180851399849, 1.49364952909414]}, "properties": {"time": "2020-01-01 00:31:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74222104238494, 1.4929964395658026]}, "properties": {"time": "2020-01-01 00:32:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74215000207074, 1.4927070079484355]}, "properties": {"time": "2020-01-01 00:33:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7416232943135, 1.4929085242676576]}, "properties": {"time": "2020-01-01 00:34:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74204037922482, 1.4936665187407263]}, "properties": {"time": "2020-01-01 00:35:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74175040969584, 1.493021811802846]}, "properties": {"time": "2020-01-01 00:36:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74150311287944, 1.4931319996138208]}, "properties": {"time": "2020-01-01 00:37:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74148477715048, 1.4935163976742178]}, "properties": {"time": "2020-01-01 00:38:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74177474957568, 1.4934951429450016]}, "properties": {"time": "2020-01-01 00:39:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74193505270411, 1.4935251333251283]}, "properties": {"time": "2020-01-01 00:40:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7422673315503, 1.4930335694476222]}, "properties": {"time": "2020-01-01 00:41:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74183126264909, 1.493204668707667]}, "properties": {"time": "2020-01-01 00:42:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74227442300415, 1.49363629551798]}, "properties": {"time": "2020-01-01 00:43:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74220672627452, 1.4929825530470922]}, "properties": {"time": "2020-01-01 00:44:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74160883401342, 1.493667982528725]}, "properties": {"time": "2020-01-01 00:45:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74222828910594, 1.493203880168114]}, "properties": {"time": "2020-01-01 00:46:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74238553533735, 1.4931774857964641]}, "properties": {"time": "2020-01-01 00:47:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74232068644167, 1.4933206110885422]}, "properties": {"time": "2020-01-01 00:48:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7420938111695, 1.492927918848767]}, "properties": {"time": "2020-01-01 00:49:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74201595502419, 1.4927049664058458]}, "properties": {"time": "2020-01-01 00:50:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74221067089762, 1.493151835192771]}, "properties": {"time": "2020-01-01 00:51:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7423237748434, 1.4932005794871521]}, "properties": {"time": "2020-01-01 00:52:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74154737304873, 1.4931329910379185]}, "properties": {"time": "2020-01-01 00:53:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74177532015575, 1.493651346617543]}, "properties": {"time": "2020-01-01 00:54:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74156398914515, 1.493159682917073]}, "properties": {"time": "2020-01-01 00:55:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74150338477236, 1.4932302810868896]}, "properties": {"time": "2020-01-01 00:56:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74205209865521, 1.4935058791603826]}, "properties": {"time": "2020-01-01 00:57:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74216322666436, 1.4929504483075546]}, "properties": {"time": "2020-01-01 00:58:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74156765750556, 1.4933345611875226]}, "properties": {"time": "2020-01-01 00:59:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.71, 1.36]}, "properties": {"time": "2020-01-01 01:00:00", "icon": "Marker", "style": {"color": "red"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74183126264909, 1.493203880168114]}, "properties": {"time": "2020-01-01 00:01:00", "icon": "circle", "style": {"color": "blue"}}}]}, {
                    pointToLayer: function (feature, latLng) {
                        if (feature.properties.icon == 'marker') {
                            if(feature.properties.iconstyle){
                                return new L.Marker(latLng, {
                                    icon: L.icon(feature.properties.iconstyle)});
                            }
                            //else
                            return new L.Marker(latLng);
                        }
                        if (feature.properties.icon == 'circle') {
                            if (feature.properties.iconstyle) {
                                return new L.circleMarker(latLng, feature.properties.iconstyle)
                                };
                            //else
                            return new L.circleMarker(latLng);
                        }
                        //else

                        return new L.Marker(latLng);
                    },
                    style: function (feature) {
                        return feature.properties.style;
                    },
                    onEachFeature: function(feature, layer) {
                        if (feature.properties.popup) {
                        layer.bindPopup(feature.properties.popup);
                        }
                    }
                })

            var timestamped_geo_json_27a3b2195be04bb4b7dd4ba373a4dbb3 = L.timeDimension.layer.geoJson(
                geoJsonLayer,
                {
                    updateTimeDimension: true,
                    addlastPoint: false,
                    duration: undefined,
                }
            ).addTo(map_51950386c4924f83b45c1b2195f5489a);
        
    
            L.control.fullscreen(
                {"forceSeparateButton": false, "position": "topright", "title": "Full Screen", "titleCancel": "Exit Full Screen"}
            ).addTo(map_51950386c4924f83b45c1b2195f5489a);
        
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x17fe6057400>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot(traj, stayPoints, zoom_start=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scenario 3 <a name=\"scenario3\"> </a>\n",
    "\n",
    "The object is jumping **back and forth** over a **large distance**. **NO STAY POINTS DETECTED**\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "traj = pd.DataFrame(columns=[\"time\", \"lat\", \"lon\"])\n",
    "\n",
    "traj.loc[0, :] = [STARTDATE, 1.4521, 103.8198]\n",
    "\n",
    "for i in range(1, 60):\n",
    "    randSmallNums = np.random.uniform(low=0, high=0.05, size=2)\n",
    "    \n",
    "    if i % 2 == 1:\n",
    "        traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4927+randSmallNums[0], 103.7414+randSmallNums[1]]\n",
    "    else:\n",
    "        traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4521+randSmallNums[0], 103.8198+randSmallNums[1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-01 00:00:00</td>\n",
       "      <td>1.4521</td>\n",
       "      <td>103.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-01 00:01:00</td>\n",
       "      <td>1.54135</td>\n",
       "      <td>103.781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-01 00:02:00</td>\n",
       "      <td>1.4738</td>\n",
       "      <td>103.826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-01 00:03:00</td>\n",
       "      <td>1.51156</td>\n",
       "      <td>103.743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-01 00:04:00</td>\n",
       "      <td>1.46909</td>\n",
       "      <td>103.861</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  time      lat      lon\n",
       "0  2020-01-01 00:00:00   1.4521   103.82\n",
       "1  2020-01-01 00:01:00  1.54135  103.781\n",
       "2  2020-01-01 00:02:00   1.4738  103.826\n",
       "3  2020-01-01 00:03:00  1.51156  103.743\n",
       "4  2020-01-01 00:04:00  1.46909  103.861"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traj.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2020-01-01 00:55:00</td>\n",
       "      <td>1.49554</td>\n",
       "      <td>103.769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2020-01-01 00:56:00</td>\n",
       "      <td>1.47978</td>\n",
       "      <td>103.832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2020-01-01 00:57:00</td>\n",
       "      <td>1.50115</td>\n",
       "      <td>103.751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2020-01-01 00:58:00</td>\n",
       "      <td>1.45304</td>\n",
       "      <td>103.828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2020-01-01 00:59:00</td>\n",
       "      <td>1.53079</td>\n",
       "      <td>103.791</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   time      lat      lon\n",
       "55  2020-01-01 00:55:00  1.49554  103.769\n",
       "56  2020-01-01 00:56:00  1.47978  103.832\n",
       "57  2020-01-01 00:57:00  1.50115  103.751\n",
       "58  2020-01-01 00:58:00  1.45304  103.828\n",
       "59  2020-01-01 00:59:00  1.53079  103.791"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traj.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analysing point: 1           \r",
      "Analysing point: 2           \r",
      "Analysing point: 3           \r",
      "Analysing point: 4           \r",
      "Analysing point: 5           \r",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r"
     ]
    }
   ],
   "source": [
    "stayPoints = SPDA(traj)\n",
    "for point in stayPoints:\n",
    "    point.toString()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_d1309445c00447f98c454bfde7b24627 {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.0/jquery.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jqueryui/1.10.2/jquery-ui.min.js"></script>
    <script src="https://rawcdn.githack.com/nezasa/iso8601-js-period/master/iso8601.min.js"></script>
    <script src="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.4/styles/default.min.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.control.min.css"/>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.18.1/moment.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.css"/>
</head>
<body>    
    
            <div class="folium-map" id="map_d1309445c00447f98c454bfde7b24627" ></div>
        
</body>
<script>    
    
            var map_d1309445c00447f98c454bfde7b24627 = L.map(
                "map_d1309445c00447f98c454bfde7b24627",
                {
                    center: [1.4521, 103.8198],
                    crs: L.CRS.EPSG3857,
                    zoom: 12,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_759df144552f46a1b944dc498f2b298b = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_d1309445c00447f98c454bfde7b24627);
        
    
            L.Control.TimeDimensionCustom = L.Control.TimeDimension.extend({
                _getDisplayDateFormat: function(date){
                    var newdate = new moment(date);
                    console.log(newdate)
                    return newdate.format("YYYY-MM-DD HH:mm:ss");
                }
            });
            map_d1309445c00447f98c454bfde7b24627.timeDimension = L.timeDimension(
                {
                    period: "PT1M",
                }
            );
            var timeDimensionControl = new L.Control.TimeDimensionCustom(
                {"autoPlay": false, "loopButton": false, "maxSpeed": 10, "minSpeed": 0.1, "playerOptions": {"loop": false, "startOver": true, "transitionTime": 200}, "position": "bottomleft", "timeSliderDragUpdate": false}
            );
            map_d1309445c00447f98c454bfde7b24627.addControl(this.timeDimensionControl);

            var geoJsonLayer = L.geoJson({"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.8198, 1.4521]}, "properties": {"time": "2020-01-01 00:00:00", "icon": "Marker", "style": {"color": "green"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.78089811269972, 1.541351426254204]}, "properties": {"time": "2020-01-01 00:01:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.82596403441019, 1.473803011668862]}, "properties": {"time": "2020-01-01 00:02:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74295249112258, 1.511562502491717]}, "properties": {"time": "2020-01-01 00:03:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.86116901452743, 1.4690920356987425]}, "properties": {"time": "2020-01-01 00:04:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.77354275205624, 1.5380026081641103]}, "properties": {"time": "2020-01-01 00:05:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.82928054622576, 1.4938320773449665]}, "properties": {"time": "2020-01-01 00:06:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75144447002349, 1.5073382550746972]}, "properties": {"time": "2020-01-01 00:07:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.86207361539967, 1.477232246722662]}, "properties": {"time": "2020-01-01 00:08:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.78262403318759, 1.5208300798270484]}, "properties": {"time": "2020-01-01 00:09:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.86288632471413, 1.497186042748167]}, "properties": {"time": "2020-01-01 00:10:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.77346809400818, 1.5341464610762552]}, "properties": {"time": "2020-01-01 00:11:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83716753738697, 1.4588639560863674]}, "properties": {"time": "2020-01-01 00:12:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.79132727355481, 1.5088499745167439]}, "properties": {"time": "2020-01-01 00:13:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83424265941645, 1.4603454085415515]}, "properties": {"time": "2020-01-01 00:14:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74436288084594, 1.5398947477739233]}, "properties": {"time": "2020-01-01 00:15:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.8218437833844, 1.4880185878816048]}, "properties": {"time": "2020-01-01 00:16:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.76429963550284, 1.4945814387790681]}, "properties": {"time": "2020-01-01 00:17:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.84975314925663, 1.4611357934502118]}, "properties": {"time": "2020-01-01 00:18:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.77175970227186, 1.5094435418885261]}, "properties": {"time": "2020-01-01 00:19:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83698950958482, 1.5003600622378115]}, "properties": {"time": "2020-01-01 00:20:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.79069981300371, 1.515049385622436]}, "properties": {"time": "2020-01-01 00:21:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.84664013475265, 1.4686293058064617]}, "properties": {"time": "2020-01-01 00:22:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75616145932499, 1.5024942185484873]}, "properties": {"time": "2020-01-01 00:23:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83388054876657, 1.4834799819256639]}, "properties": {"time": "2020-01-01 00:24:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.78546433772107, 1.5345089489477968]}, "properties": {"time": "2020-01-01 00:25:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83279753274894, 1.4787037890361654]}, "properties": {"time": "2020-01-01 00:26:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7588417376215, 1.5191306467211758]}, "properties": {"time": "2020-01-01 00:27:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.82325530693363, 1.4914876527204448]}, "properties": {"time": "2020-01-01 00:28:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7627849916975, 1.5232685902844918]}, "properties": {"time": "2020-01-01 00:29:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.85923355853694, 1.4888820888774532]}, "properties": {"time": "2020-01-01 00:30:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.78527049549183, 1.5018597688980915]}, "properties": {"time": "2020-01-01 00:31:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83984128760999, 1.4844101782176105]}, "properties": {"time": "2020-01-01 00:32:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.78052217434094, 1.5328930967925078]}, "properties": {"time": "2020-01-01 00:33:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.85499523464786, 1.4805761528579127]}, "properties": {"time": "2020-01-01 00:34:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75933221174824, 1.5134542711303136]}, "properties": {"time": "2020-01-01 00:35:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.84335998985377, 1.4762668355600999]}, "properties": {"time": "2020-01-01 00:36:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7798823102848, 1.5230148974428355]}, "properties": {"time": "2020-01-01 00:37:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.86483422249222, 1.4639978529077515]}, "properties": {"time": "2020-01-01 00:38:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.78726092703194, 1.5267050342804651]}, "properties": {"time": "2020-01-01 00:39:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83924349796146, 1.4638752286381438]}, "properties": {"time": "2020-01-01 00:40:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.77698275377556, 1.5258285477530282]}, "properties": {"time": "2020-01-01 00:41:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.85657499539283, 1.483537119755734]}, "properties": {"time": "2020-01-01 00:42:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.77423085591685, 1.516337370934742]}, "properties": {"time": "2020-01-01 00:43:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.86529958968974, 1.4928271429004605]}, "properties": {"time": "2020-01-01 00:44:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75948374750037, 1.4999949137764241]}, "properties": {"time": "2020-01-01 00:45:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.84376928284895, 1.4908538597915544]}, "properties": {"time": "2020-01-01 00:46:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7461108837526, 1.5239722101313193]}, "properties": {"time": "2020-01-01 00:47:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.82462236267367, 1.4724568206696251]}, "properties": {"time": "2020-01-01 00:48:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7824405479425, 1.5243904319740733]}, "properties": {"time": "2020-01-01 00:49:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.8646194336706, 1.4686748288138745]}, "properties": {"time": "2020-01-01 00:50:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.78263548226847, 1.50337847422234]}, "properties": {"time": "2020-01-01 00:51:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.85633193525169, 1.4737494008552185]}, "properties": {"time": "2020-01-01 00:52:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.76549793830075, 1.5313194961373584]}, "properties": {"time": "2020-01-01 00:53:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83952774728763, 1.4537810845760675]}, "properties": {"time": "2020-01-01 00:54:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7688879966824, 1.4955384931452935]}, "properties": {"time": "2020-01-01 00:55:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83212913952558, 1.4797847441596486]}, "properties": {"time": "2020-01-01 00:56:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75146844983541, 1.5011506853743997]}, "properties": {"time": "2020-01-01 00:57:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.82800423717723, 1.4530378514890905]}, "properties": {"time": "2020-01-01 00:58:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.790904429117, 1.5307859615427921]}, "properties": {"time": "2020-01-01 00:59:00", "icon": "Marker", "style": {"color": "red"}}}]}, {
                    pointToLayer: function (feature, latLng) {
                        if (feature.properties.icon == 'marker') {
                            if(feature.properties.iconstyle){
                                return new L.Marker(latLng, {
                                    icon: L.icon(feature.properties.iconstyle)});
                            }
                            //else
                            return new L.Marker(latLng);
                        }
                        if (feature.properties.icon == 'circle') {
                            if (feature.properties.iconstyle) {
                                return new L.circleMarker(latLng, feature.properties.iconstyle)
                                };
                            //else
                            return new L.circleMarker(latLng);
                        }
                        //else

                        return new L.Marker(latLng);
                    },
                    style: function (feature) {
                        return feature.properties.style;
                    },
                    onEachFeature: function(feature, layer) {
                        if (feature.properties.popup) {
                        layer.bindPopup(feature.properties.popup);
                        }
                    }
                })

            var timestamped_geo_json_9aabf26908e040ba84e274612ae9095c = L.timeDimension.layer.geoJson(
                geoJsonLayer,
                {
                    updateTimeDimension: true,
                    addlastPoint: false,
                    duration: undefined,
                }
            ).addTo(map_d1309445c00447f98c454bfde7b24627);
        
    
            L.control.fullscreen(
                {"forceSeparateButton": false, "position": "topright", "title": "Full Screen", "titleCancel": "Exit Full Screen"}
            ).addTo(map_d1309445c00447f98c454bfde7b24627);
        
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x17fe6070880>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot(traj, stayPoints, zoom_start=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scenario 4 <a name=\"scenario4\"></a>\n",
    "\n",
    "The object is jumping **back and forth** along a **road** (less than 200m). **1 STAY POINT DETECTED**\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "traj = pd.DataFrame(columns=[\"time\", \"lat\", \"lon\"])\n",
    "\n",
    "traj.loc[0, :] = [STARTDATE, 1.4927, 103.7359]\n",
    "\n",
    "for i in range(1, 60):\n",
    "    randSmallNums = np.random.uniform(low=0, high=0.001, size=2)\n",
    "    \n",
    "    if i % 2 == 1:\n",
    "        traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4917+randSmallNums[0], 103.7354+randSmallNums[1]]\n",
    "    else:\n",
    "        traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4927+randSmallNums[0], 103.7359+randSmallNums[1]]\n",
    "        \n",
    "traj.loc[60, :]  = [traj.time[60-1] + timedelta(seconds=60), 1.5, 104]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-01 00:00:00</td>\n",
       "      <td>1.4927</td>\n",
       "      <td>103.736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-01 00:01:00</td>\n",
       "      <td>1.49187</td>\n",
       "      <td>103.736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-01 00:02:00</td>\n",
       "      <td>1.49362</td>\n",
       "      <td>103.736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-01 00:03:00</td>\n",
       "      <td>1.49223</td>\n",
       "      <td>103.735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-01 00:04:00</td>\n",
       "      <td>1.49272</td>\n",
       "      <td>103.737</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  time      lat      lon\n",
       "0  2020-01-01 00:00:00   1.4927  103.736\n",
       "1  2020-01-01 00:01:00  1.49187  103.736\n",
       "2  2020-01-01 00:02:00  1.49362  103.736\n",
       "3  2020-01-01 00:03:00  1.49223  103.735\n",
       "4  2020-01-01 00:04:00  1.49272  103.737"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traj.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2020-01-01 00:56:00</td>\n",
       "      <td>1.4933</td>\n",
       "      <td>103.736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2020-01-01 00:57:00</td>\n",
       "      <td>1.49204</td>\n",
       "      <td>103.735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2020-01-01 00:58:00</td>\n",
       "      <td>1.4935</td>\n",
       "      <td>103.737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2020-01-01 00:59:00</td>\n",
       "      <td>1.49189</td>\n",
       "      <td>103.736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2020-01-01 01:00:00</td>\n",
       "      <td>1.5</td>\n",
       "      <td>104</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   time      lat      lon\n",
       "56  2020-01-01 00:56:00   1.4933  103.736\n",
       "57  2020-01-01 00:57:00  1.49204  103.735\n",
       "58  2020-01-01 00:58:00   1.4935  103.737\n",
       "59  2020-01-01 00:59:00  1.49189  103.736\n",
       "60  2020-01-01 01:00:00      1.5      104"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traj.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analysing point: 1           \r",
      "Analysing point: 2           \r",
      "Analysing point: 3           \r",
      "Analysing point: 4           \r",
      "Analysing point: 5           \r",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "(0, 60): distance > 200\n",
      "(3600.0,60)\n",
      "stay point found\n",
      "(arrivalTime: 2020-01-01 00:00:00, departTime: 2020-01-01 01:00:00, startIndex: 0, endIndex: 60, location: [103.73608473420293, 1.4926846479270193])\n"
     ]
    }
   ],
   "source": [
    "stayPoints = SPDA(traj)\n",
    "for point in stayPoints:\n",
    "    point.toString()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "29400.5141128575"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "haversine(traj.lon[0], traj.lat[0], traj.lon[60], traj.lat[60])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_90b72e9ec29645b8a5aa2639a999856c {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.0/jquery.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jqueryui/1.10.2/jquery-ui.min.js"></script>
    <script src="https://rawcdn.githack.com/nezasa/iso8601-js-period/master/iso8601.min.js"></script>
    <script src="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.4/styles/default.min.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.control.min.css"/>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.18.1/moment.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.css"/>
</head>
<body>    
    
            <div class="folium-map" id="map_90b72e9ec29645b8a5aa2639a999856c" ></div>
        
</body>
<script>    
    
            var map_90b72e9ec29645b8a5aa2639a999856c = L.map(
                "map_90b72e9ec29645b8a5aa2639a999856c",
                {
                    center: [1.4927, 103.7359],
                    crs: L.CRS.EPSG3857,
                    zoom: 18,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_46773cd74fee42c39c81bb685f12a38f = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_90b72e9ec29645b8a5aa2639a999856c);
        
    
            L.Control.TimeDimensionCustom = L.Control.TimeDimension.extend({
                _getDisplayDateFormat: function(date){
                    var newdate = new moment(date);
                    console.log(newdate)
                    return newdate.format("YYYY-MM-DD HH:mm:ss");
                }
            });
            map_90b72e9ec29645b8a5aa2639a999856c.timeDimension = L.timeDimension(
                {
                    period: "PT1M",
                }
            );
            var timeDimensionControl = new L.Control.TimeDimensionCustom(
                {"autoPlay": false, "loopButton": false, "maxSpeed": 10, "minSpeed": 0.1, "playerOptions": {"loop": false, "startOver": true, "transitionTime": 200}, "position": "bottomleft", "timeSliderDragUpdate": false}
            );
            map_90b72e9ec29645b8a5aa2639a999856c.addControl(this.timeDimensionControl);

            var geoJsonLayer = L.geoJson({"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7359, 1.4927]}, "properties": {"time": "2020-01-01 00:00:00", "icon": "Marker", "style": {"color": "green"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73595591424379, 1.492415321614528]}, "properties": {"time": "2020-01-01 00:01:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73650450375486, 1.4936255818983404]}, "properties": {"time": "2020-01-01 00:02:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73619020281123, 1.4921670149508524]}, "properties": {"time": "2020-01-01 00:03:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73604024786391, 1.4927564238164814]}, "properties": {"time": "2020-01-01 00:04:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73612611958764, 1.492461024513593]}, "properties": {"time": "2020-01-01 00:05:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73655408598523, 1.4931569976557377]}, "properties": {"time": "2020-01-01 00:06:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73594814625808, 1.4917328090258075]}, "properties": {"time": "2020-01-01 00:07:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73604215828814, 1.4930597390809468]}, "properties": {"time": "2020-01-01 00:08:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73557405154264, 1.4925845843596148]}, "properties": {"time": "2020-01-01 00:09:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7366672267683, 1.4936046491756376]}, "properties": {"time": "2020-01-01 00:10:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73625113685245, 1.4918780943676997]}, "properties": {"time": "2020-01-01 00:11:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7360074989599, 1.4935731507183276]}, "properties": {"time": "2020-01-01 00:12:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7359099901324, 1.4919844014920973]}, "properties": {"time": "2020-01-01 00:13:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73670655210206, 1.4932483514233061]}, "properties": {"time": "2020-01-01 00:14:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7358669772463, 1.4922793482779986]}, "properties": {"time": "2020-01-01 00:15:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73645578506888, 1.492837368177863]}, "properties": {"time": "2020-01-01 00:16:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73545889117909, 1.4920566808944682]}, "properties": {"time": "2020-01-01 00:17:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73613432366271, 1.4932895323562005]}, "properties": {"time": "2020-01-01 00:18:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73628965517679, 1.4922735566648677]}, "properties": {"time": "2020-01-01 00:19:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73639690325561, 1.493636904797093]}, "properties": {"time": "2020-01-01 00:20:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73636182474898, 1.4919220131676583]}, "properties": {"time": "2020-01-01 00:21:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7366366995054, 1.4929214619846174]}, "properties": {"time": "2020-01-01 00:22:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73583576547004, 1.4924600183762213]}, "properties": {"time": "2020-01-01 00:23:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73610230051592, 1.493157076821047]}, "properties": {"time": "2020-01-01 00:24:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73628924267653, 1.4924965504299985]}, "properties": {"time": "2020-01-01 00:25:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7359359558602, 1.4928631743821452]}, "properties": {"time": "2020-01-01 00:26:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73637522344023, 1.4920412594352237]}, "properties": {"time": "2020-01-01 00:27:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73633469530631, 1.4930011306251527]}, "properties": {"time": "2020-01-01 00:28:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7355491351704, 1.492035186532583]}, "properties": {"time": "2020-01-01 00:29:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73659205000001, 1.4930682171918948]}, "properties": {"time": "2020-01-01 00:30:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73545598428149, 1.4926342077629697]}, "properties": {"time": "2020-01-01 00:31:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73618788369998, 1.493584317820793]}, "properties": {"time": "2020-01-01 00:32:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73607183428526, 1.491918489751694]}, "properties": {"time": "2020-01-01 00:33:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73680110485552, 1.4931184165652216]}, "properties": {"time": "2020-01-01 00:34:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7359237538329, 1.492175255109163]}, "properties": {"time": "2020-01-01 00:35:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73613451252997, 1.4932202140542743]}, "properties": {"time": "2020-01-01 00:36:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73632339794214, 1.4924197543568003]}, "properties": {"time": "2020-01-01 00:37:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73659795536274, 1.4930533043104808]}, "properties": {"time": "2020-01-01 00:38:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7361879455217, 1.492404352975223]}, "properties": {"time": "2020-01-01 00:39:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73598082980398, 1.492826461737021]}, "properties": {"time": "2020-01-01 00:40:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7359042713658, 1.4919268190995165]}, "properties": {"time": "2020-01-01 00:41:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73597766128928, 1.4933968169462903]}, "properties": {"time": "2020-01-01 00:42:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73574954334686, 1.4919732972318929]}, "properties": {"time": "2020-01-01 00:43:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7366162740147, 1.49288030772046]}, "properties": {"time": "2020-01-01 00:44:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73568873154649, 1.4926606133528224]}, "properties": {"time": "2020-01-01 00:45:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73628466248245, 1.4932106563660317]}, "properties": {"time": "2020-01-01 00:46:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73558676425517, 1.4919689697772842]}, "properties": {"time": "2020-01-01 00:47:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73662471583775, 1.4933586726157917]}, "properties": {"time": "2020-01-01 00:48:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73610487993098, 1.4926691055024972]}, "properties": {"time": "2020-01-01 00:49:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73590611548039, 1.49366032507496]}, "properties": {"time": "2020-01-01 00:50:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73592341027991, 1.4924698789013306]}, "properties": {"time": "2020-01-01 00:51:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73682449954566, 1.4936516359744074]}, "properties": {"time": "2020-01-01 00:52:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73604116091829, 1.492394012999152]}, "properties": {"time": "2020-01-01 00:53:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73629252299246, 1.4935747475797865]}, "properties": {"time": "2020-01-01 00:54:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73551236893915, 1.4919749781529195]}, "properties": {"time": "2020-01-01 00:55:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73642759443537, 1.4933259993013273]}, "properties": {"time": "2020-01-01 00:56:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73620274596614, 1.4925049752046975]}, "properties": {"time": "2020-01-01 00:57:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73643282973765, 1.4931075932422906]}, "properties": {"time": "2020-01-01 00:58:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73542902759885, 1.4924674343040598]}, "properties": {"time": "2020-01-01 00:59:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [104, 1.5]}, "properties": {"time": "2020-01-01 01:00:00", "icon": "Marker", "style": {"color": "red"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73613022162517, 1.4926845527512485]}, "properties": {"time": "2020-01-01 00:00:00", "icon": "circle", "style": {"color": "blue"}}}]}, {
                    pointToLayer: function (feature, latLng) {
                        if (feature.properties.icon == 'marker') {
                            if(feature.properties.iconstyle){
                                return new L.Marker(latLng, {
                                    icon: L.icon(feature.properties.iconstyle)});
                            }
                            //else
                            return new L.Marker(latLng);
                        }
                        if (feature.properties.icon == 'circle') {
                            if (feature.properties.iconstyle) {
                                return new L.circleMarker(latLng, feature.properties.iconstyle)
                                };
                            //else
                            return new L.circleMarker(latLng);
                        }
                        //else

                        return new L.Marker(latLng);
                    },
                    style: function (feature) {
                        return feature.properties.style;
                    },
                    onEachFeature: function(feature, layer) {
                        if (feature.properties.popup) {
                        layer.bindPopup(feature.properties.popup);
                        }
                    }
                })

            var timestamped_geo_json_7610b65dad9c40a7b1b31cf32b7e9ae9 = L.timeDimension.layer.geoJson(
                geoJsonLayer,
                {
                    updateTimeDimension: true,
                    addlastPoint: false,
                    duration: undefined,
                }
            ).addTo(map_90b72e9ec29645b8a5aa2639a999856c);
        
    
            L.control.fullscreen(
                {"forceSeparateButton": false, "position": "topright", "title": "Full Screen", "titleCancel": "Exit Full Screen"}
            ).addTo(map_90b72e9ec29645b8a5aa2639a999856c);
        
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x17fe6088cd0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot(traj, stayPoints, zoom_start=18)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scenario 5 <a name=\"scenario5\"></a>\n",
    "\n",
    "The object is jumping **around in a square shape pattern** over a **large distance**. **NO STAY POINT DETECTED**\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "traj = pd.DataFrame(columns=[\"time\", \"lat\", \"lon\"])\n",
    "\n",
    "traj.loc[0, :] = [STARTDATE, 1.4627, 103.7359]\n",
    "\n",
    "for i in range(1, 60):\n",
    "    randSmallNums = np.random.uniform(low=0, high=0.005, size=2)\n",
    "    \n",
    "    if i % 4 == 0:\n",
    "        traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4627+randSmallNums[0], 103.7359+randSmallNums[1]]\n",
    "    elif i % 4 == 1:\n",
    "        traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4697+randSmallNums[0], 103.7359+randSmallNums[1]]\n",
    "    elif i % 4 == 2:\n",
    "        traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4697+randSmallNums[0], 103.7459+randSmallNums[1]]\n",
    "    elif i % 4 == 3:\n",
    "        traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4627+randSmallNums[0], 103.7459+randSmallNums[1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-01 00:00:00</td>\n",
       "      <td>1.4627</td>\n",
       "      <td>103.736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-01 00:01:00</td>\n",
       "      <td>1.47089</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-01 00:02:00</td>\n",
       "      <td>1.47399</td>\n",
       "      <td>103.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-01 00:03:00</td>\n",
       "      <td>1.46334</td>\n",
       "      <td>103.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-01 00:04:00</td>\n",
       "      <td>1.46444</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  time      lat      lon\n",
       "0  2020-01-01 00:00:00   1.4627  103.736\n",
       "1  2020-01-01 00:01:00  1.47089  103.741\n",
       "2  2020-01-01 00:02:00  1.47399   103.75\n",
       "3  2020-01-01 00:03:00  1.46334   103.75\n",
       "4  2020-01-01 00:04:00  1.46444  103.739"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traj.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2020-01-01 00:55:00</td>\n",
       "      <td>1.46352</td>\n",
       "      <td>103.748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2020-01-01 00:56:00</td>\n",
       "      <td>1.46375</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2020-01-01 00:57:00</td>\n",
       "      <td>1.47233</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2020-01-01 00:58:00</td>\n",
       "      <td>1.47357</td>\n",
       "      <td>103.748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2020-01-01 00:59:00</td>\n",
       "      <td>1.46639</td>\n",
       "      <td>103.747</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   time      lat      lon\n",
       "55  2020-01-01 00:55:00  1.46352  103.748\n",
       "56  2020-01-01 00:56:00  1.46375   103.74\n",
       "57  2020-01-01 00:57:00  1.47233  103.739\n",
       "58  2020-01-01 00:58:00  1.47357  103.748\n",
       "59  2020-01-01 00:59:00  1.46639  103.747"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traj.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analysing point: 1           \r",
      "Analysing point: 2           \r",
      "Analysing point: 3           \r",
      "Analysing point: 4           \r",
      "Analysing point: 5           \r",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r"
     ]
    }
   ],
   "source": [
    "stayPoints = SPDA(traj)\n",
    "for point in stayPoints:\n",
    "    point.toString()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_adfe988e199c4218a9cec51e5f44a7b0 {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.0/jquery.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jqueryui/1.10.2/jquery-ui.min.js"></script>
    <script src="https://rawcdn.githack.com/nezasa/iso8601-js-period/master/iso8601.min.js"></script>
    <script src="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.4/styles/default.min.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.control.min.css"/>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.18.1/moment.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.css"/>
</head>
<body>    
    
            <div class="folium-map" id="map_adfe988e199c4218a9cec51e5f44a7b0" ></div>
        
</body>
<script>    
    
            var map_adfe988e199c4218a9cec51e5f44a7b0 = L.map(
                "map_adfe988e199c4218a9cec51e5f44a7b0",
                {
                    center: [1.4627, 103.7359],
                    crs: L.CRS.EPSG3857,
                    zoom: 14,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_ba93a6a688d248ae9041a957828e93f5 = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_adfe988e199c4218a9cec51e5f44a7b0);
        
    
            L.Control.TimeDimensionCustom = L.Control.TimeDimension.extend({
                _getDisplayDateFormat: function(date){
                    var newdate = new moment(date);
                    console.log(newdate)
                    return newdate.format("YYYY-MM-DD HH:mm:ss");
                }
            });
            map_adfe988e199c4218a9cec51e5f44a7b0.timeDimension = L.timeDimension(
                {
                    period: "PT1M",
                }
            );
            var timeDimensionControl = new L.Control.TimeDimensionCustom(
                {"autoPlay": false, "loopButton": false, "maxSpeed": 10, "minSpeed": 0.1, "playerOptions": {"loop": false, "startOver": true, "transitionTime": 200}, "position": "bottomleft", "timeSliderDragUpdate": false}
            );
            map_adfe988e199c4218a9cec51e5f44a7b0.addControl(this.timeDimensionControl);

            var geoJsonLayer = L.geoJson({"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7359, 1.4627]}, "properties": {"time": "2020-01-01 00:00:00", "icon": "Marker", "style": {"color": "green"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74050469883109, 1.4708872446165275]}, "properties": {"time": "2020-01-01 00:01:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75043829121208, 1.473986035669629]}, "properties": {"time": "2020-01-01 00:02:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74964429403046, 1.4633427690037335]}, "properties": {"time": "2020-01-01 00:03:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73903985197978, 1.4644418191747999]}, "properties": {"time": "2020-01-01 00:04:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73769299336739, 1.4727947459569737]}, "properties": {"time": "2020-01-01 00:05:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74774519124675, 1.471227264173935]}, "properties": {"time": "2020-01-01 00:06:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74638571247262, 1.4648077704911415]}, "properties": {"time": "2020-01-01 00:07:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7364213530539, 1.4673233398259464]}, "properties": {"time": "2020-01-01 00:08:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73985295324965, 1.4746951402950264]}, "properties": {"time": "2020-01-01 00:09:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75037187037815, 1.4715131898694933]}, "properties": {"time": "2020-01-01 00:10:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74591811319004, 1.4659199153790499]}, "properties": {"time": "2020-01-01 00:11:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7361127066886, 1.4649193095557769]}, "properties": {"time": "2020-01-01 00:12:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74083611722615, 1.4740522075122564]}, "properties": {"time": "2020-01-01 00:13:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74703458809074, 1.4710907846494912]}, "properties": {"time": "2020-01-01 00:14:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74839693092092, 1.4637565243509842]}, "properties": {"time": "2020-01-01 00:15:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73765322417088, 1.4635665880722415]}, "properties": {"time": "2020-01-01 00:16:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73956165137291, 1.470172716392768]}, "properties": {"time": "2020-01-01 00:17:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74593764240582, 1.470031116725465]}, "properties": {"time": "2020-01-01 00:18:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74800679259826, 1.4644833967510797]}, "properties": {"time": "2020-01-01 00:19:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74078304906992, 1.4666823437177627]}, "properties": {"time": "2020-01-01 00:20:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73671505637495, 1.4720287201253905]}, "properties": {"time": "2020-01-01 00:21:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75063989302048, 1.4713135153449983]}, "properties": {"time": "2020-01-01 00:22:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74670515461972, 1.462928047794129]}, "properties": {"time": "2020-01-01 00:23:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73597442583089, 1.4667536959362404]}, "properties": {"time": "2020-01-01 00:24:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7367613384489, 1.4713772767883342]}, "properties": {"time": "2020-01-01 00:25:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74838630930358, 1.4724184654195605]}, "properties": {"time": "2020-01-01 00:26:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74907806639183, 1.4659554660615446]}, "properties": {"time": "2020-01-01 00:27:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73988739467896, 1.4674160975330042]}, "properties": {"time": "2020-01-01 00:28:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7377822935895, 1.4733451206588883]}, "properties": {"time": "2020-01-01 00:29:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75083674973376, 1.471595273218322]}, "properties": {"time": "2020-01-01 00:30:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7468690002074, 1.4667824395191]}, "properties": {"time": "2020-01-01 00:31:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73698078245178, 1.4660234343578395]}, "properties": {"time": "2020-01-01 00:32:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73983073729363, 1.4724628798972266]}, "properties": {"time": "2020-01-01 00:33:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75004389122627, 1.4734941596074536]}, "properties": {"time": "2020-01-01 00:34:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74708858302127, 1.466534904407275]}, "properties": {"time": "2020-01-01 00:35:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73898540601728, 1.4627288751132363]}, "properties": {"time": "2020-01-01 00:36:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73813940110797, 1.4715340058410324]}, "properties": {"time": "2020-01-01 00:37:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74841404277718, 1.4730240056772226]}, "properties": {"time": "2020-01-01 00:38:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74953611041798, 1.4650905370734228]}, "properties": {"time": "2020-01-01 00:39:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73774986474446, 1.4649727055897117]}, "properties": {"time": "2020-01-01 00:40:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73652184384777, 1.473666612168067]}, "properties": {"time": "2020-01-01 00:41:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7491739170166, 1.4709031735325113]}, "properties": {"time": "2020-01-01 00:42:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7472782286372, 1.4633039491849646]}, "properties": {"time": "2020-01-01 00:43:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73953420155802, 1.4676218105794263]}, "properties": {"time": "2020-01-01 00:44:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.738177721795, 1.4739316662420452]}, "properties": {"time": "2020-01-01 00:45:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75004330201607, 1.470099377986124]}, "properties": {"time": "2020-01-01 00:46:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75059016272269, 1.465427946062772]}, "properties": {"time": "2020-01-01 00:47:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73887595608623, 1.4644535345798273]}, "properties": {"time": "2020-01-01 00:48:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73758694885962, 1.4718628068189417]}, "properties": {"time": "2020-01-01 00:49:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74946270004797, 1.4718151986956494]}, "properties": {"time": "2020-01-01 00:50:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75055327382958, 1.4650175400018888]}, "properties": {"time": "2020-01-01 00:51:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74084568033366, 1.4627550211128024]}, "properties": {"time": "2020-01-01 00:52:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73749404147753, 1.4713507481361583]}, "properties": {"time": "2020-01-01 00:53:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74945024249396, 1.4721618609926332]}, "properties": {"time": "2020-01-01 00:54:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74811829615079, 1.4635177974656683]}, "properties": {"time": "2020-01-01 00:55:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73964774025916, 1.4637524465505392]}, "properties": {"time": "2020-01-01 00:56:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73891742580473, 1.4723341448716674]}, "properties": {"time": "2020-01-01 00:57:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74777256327282, 1.4735715263651739]}, "properties": {"time": "2020-01-01 00:58:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74702853402525, 1.466385219036232]}, "properties": {"time": "2020-01-01 00:59:00", "icon": "Marker", "style": {"color": "red"}}}]}, {
                    pointToLayer: function (feature, latLng) {
                        if (feature.properties.icon == 'marker') {
                            if(feature.properties.iconstyle){
                                return new L.Marker(latLng, {
                                    icon: L.icon(feature.properties.iconstyle)});
                            }
                            //else
                            return new L.Marker(latLng);
                        }
                        if (feature.properties.icon == 'circle') {
                            if (feature.properties.iconstyle) {
                                return new L.circleMarker(latLng, feature.properties.iconstyle)
                                };
                            //else
                            return new L.circleMarker(latLng);
                        }
                        //else

                        return new L.Marker(latLng);
                    },
                    style: function (feature) {
                        return feature.properties.style;
                    },
                    onEachFeature: function(feature, layer) {
                        if (feature.properties.popup) {
                        layer.bindPopup(feature.properties.popup);
                        }
                    }
                })

            var timestamped_geo_json_6c1debb332d84c2a98385c08c4e8b8e6 = L.timeDimension.layer.geoJson(
                geoJsonLayer,
                {
                    updateTimeDimension: true,
                    addlastPoint: false,
                    duration: undefined,
                }
            ).addTo(map_adfe988e199c4218a9cec51e5f44a7b0);
        
    
            L.control.fullscreen(
                {"forceSeparateButton": false, "position": "topright", "title": "Full Screen", "titleCancel": "Exit Full Screen"}
            ).addTo(map_adfe988e199c4218a9cec51e5f44a7b0);
        
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x17fe60903d0>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot(traj, stayPoints, zoom_start=14)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scenario 6 <a name=\"scenario6\"></a>\n",
    "\n",
    "The object is jumping **around in a square shape pattern** over a **small distance**. **1 STAY POINT DETECTED**.\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "traj = pd.DataFrame(columns=[\"time\", \"lat\", \"lon\"])\n",
    "\n",
    "traj.loc[0, :] = [STARTDATE, 1.4627, 103.7359]\n",
    "\n",
    "for i in range(1, 60):\n",
    "    randSmallNums = np.random.uniform(low=0, high=0.0005, size=2)\n",
    "    \n",
    "    if i % 4 == 0:\n",
    "        traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4627+randSmallNums[0], 103.7399+randSmallNums[1]]\n",
    "    elif i % 4 == 1:\n",
    "        traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4637+randSmallNums[0], 103.7399+randSmallNums[1]]\n",
    "    elif i % 4 == 2:\n",
    "        traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4637+randSmallNums[0], 103.7409+randSmallNums[1]]\n",
    "    elif i % 4 == 3:\n",
    "        traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4627+randSmallNums[0], 103.7409+randSmallNums[1]]\n",
    "    \n",
    "traj.loc[60, :] = [traj.time[i-1] + timedelta(seconds=60), 1.46, 103.75]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(arrivalTime: 2020-01-01 00:01:00, departTime: 2020-01-01 00:59:00, startIndex: 1, endIndex: 60, location: [103.74092981759439, 1.463700773543508])\n"
     ]
    }
   ],
   "source": [
    "stayPoints = SPDA(traj)\n",
    "for point in stayPoints:\n",
    "    point.toString()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_b60f7cd0b273451eaf421a7960a6c1d0 {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.0/jquery.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jqueryui/1.10.2/jquery-ui.min.js"></script>
    <script src="https://rawcdn.githack.com/nezasa/iso8601-js-period/master/iso8601.min.js"></script>
    <script src="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.4/styles/default.min.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.control.min.css"/>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.18.1/moment.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.css"/>
</head>
<body>    
    
            <div class="folium-map" id="map_b60f7cd0b273451eaf421a7960a6c1d0" ></div>
        
</body>
<script>    
    
            var map_b60f7cd0b273451eaf421a7960a6c1d0 = L.map(
                "map_b60f7cd0b273451eaf421a7960a6c1d0",
                {
                    center: [1.4627, 103.7359],
                    crs: L.CRS.EPSG3857,
                    zoom: 16,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_01c84ace11664a76874e92ec5c413778 = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_b60f7cd0b273451eaf421a7960a6c1d0);
        
    
            L.Control.TimeDimensionCustom = L.Control.TimeDimension.extend({
                _getDisplayDateFormat: function(date){
                    var newdate = new moment(date);
                    console.log(newdate)
                    return newdate.format("YYYY-MM-DD HH:mm:ss");
                }
            });
            map_b60f7cd0b273451eaf421a7960a6c1d0.timeDimension = L.timeDimension(
                {
                    period: "PT1M",
                }
            );
            var timeDimensionControl = new L.Control.TimeDimensionCustom(
                {"autoPlay": false, "loopButton": false, "maxSpeed": 10, "minSpeed": 0.1, "playerOptions": {"loop": false, "startOver": true, "transitionTime": 200}, "position": "bottomleft", "timeSliderDragUpdate": false}
            );
            map_b60f7cd0b273451eaf421a7960a6c1d0.addControl(this.timeDimensionControl);

            var geoJsonLayer = L.geoJson({"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7359, 1.4627]}, "properties": {"time": "2020-01-01 00:00:00", "icon": "Marker", "style": {"color": "green"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74025865468911, 1.463858171015123]}, "properties": {"time": "2020-01-01 00:01:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7413354866325, 1.4639696673333198]}, "properties": {"time": "2020-01-01 00:02:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74105347766924, 1.4628881956307223]}, "properties": {"time": "2020-01-01 00:03:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.740105286872, 1.4627420489904923]}, "properties": {"time": "2020-01-01 00:04:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74002081630316, 1.464114054021832]}, "properties": {"time": "2020-01-01 00:05:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74092981759439, 1.4637174447860843]}, "properties": {"time": "2020-01-01 00:06:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7409439003726, 1.4628170632018676]}, "properties": {"time": "2020-01-01 00:07:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73995887130508, 1.4630535386541332]}, "properties": {"time": "2020-01-01 00:08:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74014307529222, 1.4637493525777554]}, "properties": {"time": "2020-01-01 00:09:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74119392369693, 1.4641013440380213]}, "properties": {"time": "2020-01-01 00:10:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7413838108835, 1.4631767958149624]}, "properties": {"time": "2020-01-01 00:11:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7402160053908, 1.4630480174556268]}, "properties": {"time": "2020-01-01 00:12:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74010355528542, 1.4640858131660424]}, "properties": {"time": "2020-01-01 00:13:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74096140285668, 1.46404751605246]}, "properties": {"time": "2020-01-01 00:14:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74105184887371, 1.4627038951378144]}, "properties": {"time": "2020-01-01 00:15:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74017821140279, 1.463157091303258]}, "properties": {"time": "2020-01-01 00:16:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74003440178747, 1.4638800499586437]}, "properties": {"time": "2020-01-01 00:17:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74126947163836, 1.463741720391798]}, "properties": {"time": "2020-01-01 00:18:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74118256156271, 1.4630548575367914]}, "properties": {"time": "2020-01-01 00:19:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74024895054548, 1.4627901243511818]}, "properties": {"time": "2020-01-01 00:20:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74031707230893, 1.4639959879455813]}, "properties": {"time": "2020-01-01 00:21:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74101961561445, 1.464159053965304]}, "properties": {"time": "2020-01-01 00:22:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74112726181697, 1.462734337208371]}, "properties": {"time": "2020-01-01 00:23:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73994352340658, 1.4630288649679681]}, "properties": {"time": "2020-01-01 00:24:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74003310441805, 1.463888792713393]}, "properties": {"time": "2020-01-01 00:25:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74139618041144, 1.4638249087686852]}, "properties": {"time": "2020-01-01 00:26:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74093924367725, 1.462725530257462]}, "properties": {"time": "2020-01-01 00:27:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7403156631133, 1.4628429436695274]}, "properties": {"time": "2020-01-01 00:28:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74039604028106, 1.4639338186187238]}, "properties": {"time": "2020-01-01 00:29:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74124621236605, 1.463700773543508]}, "properties": {"time": "2020-01-01 00:30:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7413270553543, 1.4630397677397473]}, "properties": {"time": "2020-01-01 00:31:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74029760773224, 1.4631450037605982]}, "properties": {"time": "2020-01-01 00:32:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74025478706898, 1.4641889077779529]}, "properties": {"time": "2020-01-01 00:33:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74093886740297, 1.4638510856334408]}, "properties": {"time": "2020-01-01 00:34:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74111017472812, 1.462937788829068]}, "properties": {"time": "2020-01-01 00:35:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74017295105143, 1.4627315709822122]}, "properties": {"time": "2020-01-01 00:36:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74024693569221, 1.4637619628747123]}, "properties": {"time": "2020-01-01 00:37:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74116875879304, 1.4637083533215813]}, "properties": {"time": "2020-01-01 00:38:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7410787618613, 1.4628106451096905]}, "properties": {"time": "2020-01-01 00:39:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74016037595182, 1.46309165284597]}, "properties": {"time": "2020-01-01 00:40:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74016563893024, 1.4638509087123046]}, "properties": {"time": "2020-01-01 00:41:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74096158604249, 1.4638349007212579]}, "properties": {"time": "2020-01-01 00:42:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7409547747397, 1.46282728965663]}, "properties": {"time": "2020-01-01 00:43:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74015934820375, 1.4630030901889766]}, "properties": {"time": "2020-01-01 00:44:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74004303928878, 1.4641211563574283]}, "properties": {"time": "2020-01-01 00:45:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7409313958919, 1.4641082475590754]}, "properties": {"time": "2020-01-01 00:46:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74115630570864, 1.4628911066124104]}, "properties": {"time": "2020-01-01 00:47:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73997824370731, 1.4631099873543436]}, "properties": {"time": "2020-01-01 00:48:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74038709660513, 1.4638113678950841]}, "properties": {"time": "2020-01-01 00:49:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74136748896953, 1.4639722258959629]}, "properties": {"time": "2020-01-01 00:50:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74134349579924, 1.4630573512204812]}, "properties": {"time": "2020-01-01 00:51:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73994127310324, 1.4628394966759526]}, "properties": {"time": "2020-01-01 00:52:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74011523314172, 1.4637611511884285]}, "properties": {"time": "2020-01-01 00:53:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7410700178131, 1.464122754212117]}, "properties": {"time": "2020-01-01 00:54:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74125737856603, 1.4627176944275455]}, "properties": {"time": "2020-01-01 00:55:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73991835564996, 1.4627884208564634]}, "properties": {"time": "2020-01-01 00:56:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7401157226331, 1.463900857139052]}, "properties": {"time": "2020-01-01 00:57:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74131046885762, 1.4640255966403606]}, "properties": {"time": "2020-01-01 00:58:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74112089921688, 1.4629858484894782]}, "properties": {"time": "2020-01-01 00:59:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75, 1.46]}, "properties": {"time": "2020-01-01 00:59:00", "icon": "Marker", "style": {"color": "red"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74092981759439, 1.463700773543508]}, "properties": {"time": "2020-01-01 00:01:00", "icon": "circle", "style": {"color": "blue"}}}]}, {
                    pointToLayer: function (feature, latLng) {
                        if (feature.properties.icon == 'marker') {
                            if(feature.properties.iconstyle){
                                return new L.Marker(latLng, {
                                    icon: L.icon(feature.properties.iconstyle)});
                            }
                            //else
                            return new L.Marker(latLng);
                        }
                        if (feature.properties.icon == 'circle') {
                            if (feature.properties.iconstyle) {
                                return new L.circleMarker(latLng, feature.properties.iconstyle)
                                };
                            //else
                            return new L.circleMarker(latLng);
                        }
                        //else

                        return new L.Marker(latLng);
                    },
                    style: function (feature) {
                        return feature.properties.style;
                    },
                    onEachFeature: function(feature, layer) {
                        if (feature.properties.popup) {
                        layer.bindPopup(feature.properties.popup);
                        }
                    }
                })

            var timestamped_geo_json_c006249136bc4d63b98fc1bb37b33a12 = L.timeDimension.layer.geoJson(
                geoJsonLayer,
                {
                    updateTimeDimension: true,
                    addlastPoint: false,
                    duration: undefined,
                }
            ).addTo(map_b60f7cd0b273451eaf421a7960a6c1d0);
        
    
            L.control.fullscreen(
                {"forceSeparateButton": false, "position": "topright", "title": "Full Screen", "titleCancel": "Exit Full Screen"}
            ).addTo(map_b60f7cd0b273451eaf421a7960a6c1d0);
        
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x17fe60afd30>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot(traj, stayPoints, zoom_start=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scenario 7 <a name=\"scenario7\"></a>\n",
    "\n",
    "The object is moving in a straight line over a distance over a distance just above `dist_thres`. **_ STAY POINT DETECTED.**\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "traj = pd.DataFrame(columns=[\"time\", \"lat\", \"lon\"])\n",
    "\n",
    "traj.loc[0, :] = [STARTDATE, 1.4627, 103.7359]\n",
    "\n",
    "for i in range(1, 100):\n",
    "    traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=30), traj.lat[i-1]+0.00005, traj.lon[i-1]+0.00005]\n",
    "    \n",
    "traj.loc[100, :] = [traj.time[i-1] + timedelta(seconds=30), 1.46, 103.75]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "401.37746904651493"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "haversine(traj.lon[0], traj.lat[0], traj.lon[51], traj.lat[51])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2020-01-01 00:22:30</td>\n",
       "      <td>1.46495</td>\n",
       "      <td>103.738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2020-01-01 00:23:00</td>\n",
       "      <td>1.465</td>\n",
       "      <td>103.738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2020-01-01 00:23:30</td>\n",
       "      <td>1.46505</td>\n",
       "      <td>103.738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2020-01-01 00:24:00</td>\n",
       "      <td>1.4651</td>\n",
       "      <td>103.738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2020-01-01 00:24:30</td>\n",
       "      <td>1.46515</td>\n",
       "      <td>103.738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2020-01-01 00:25:00</td>\n",
       "      <td>1.4652</td>\n",
       "      <td>103.738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2020-01-01 00:25:30</td>\n",
       "      <td>1.46525</td>\n",
       "      <td>103.738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2020-01-01 00:26:00</td>\n",
       "      <td>1.4653</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2020-01-01 00:26:30</td>\n",
       "      <td>1.46535</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2020-01-01 00:27:00</td>\n",
       "      <td>1.4654</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2020-01-01 00:27:30</td>\n",
       "      <td>1.46545</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2020-01-01 00:28:00</td>\n",
       "      <td>1.4655</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2020-01-01 00:28:30</td>\n",
       "      <td>1.46555</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2020-01-01 00:29:00</td>\n",
       "      <td>1.4656</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2020-01-01 00:29:30</td>\n",
       "      <td>1.46565</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2020-01-01 00:30:00</td>\n",
       "      <td>1.4657</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2020-01-01 00:30:30</td>\n",
       "      <td>1.46575</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2020-01-01 00:31:00</td>\n",
       "      <td>1.4658</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2020-01-01 00:31:30</td>\n",
       "      <td>1.46585</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2020-01-01 00:32:00</td>\n",
       "      <td>1.4659</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2020-01-01 00:32:30</td>\n",
       "      <td>1.46595</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2020-01-01 00:33:00</td>\n",
       "      <td>1.466</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2020-01-01 00:33:30</td>\n",
       "      <td>1.46605</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2020-01-01 00:34:00</td>\n",
       "      <td>1.4661</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2020-01-01 00:34:30</td>\n",
       "      <td>1.46615</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2020-01-01 00:35:00</td>\n",
       "      <td>1.4662</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2020-01-01 00:35:30</td>\n",
       "      <td>1.46625</td>\n",
       "      <td>103.739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2020-01-01 00:36:00</td>\n",
       "      <td>1.4663</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2020-01-01 00:36:30</td>\n",
       "      <td>1.46635</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2020-01-01 00:37:00</td>\n",
       "      <td>1.4664</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2020-01-01 00:37:30</td>\n",
       "      <td>1.46645</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>2020-01-01 00:38:00</td>\n",
       "      <td>1.4665</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2020-01-01 00:38:30</td>\n",
       "      <td>1.46655</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2020-01-01 00:39:00</td>\n",
       "      <td>1.4666</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2020-01-01 00:39:30</td>\n",
       "      <td>1.46665</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>2020-01-01 00:40:00</td>\n",
       "      <td>1.4667</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2020-01-01 00:40:30</td>\n",
       "      <td>1.46675</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>2020-01-01 00:41:00</td>\n",
       "      <td>1.4668</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2020-01-01 00:41:30</td>\n",
       "      <td>1.46685</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2020-01-01 00:42:00</td>\n",
       "      <td>1.4669</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>2020-01-01 00:42:30</td>\n",
       "      <td>1.46695</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>2020-01-01 00:43:00</td>\n",
       "      <td>1.467</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>2020-01-01 00:43:30</td>\n",
       "      <td>1.46705</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2020-01-01 00:44:00</td>\n",
       "      <td>1.4671</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2020-01-01 00:44:30</td>\n",
       "      <td>1.46715</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2020-01-01 00:45:00</td>\n",
       "      <td>1.4672</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2020-01-01 00:45:30</td>\n",
       "      <td>1.46725</td>\n",
       "      <td>103.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2020-01-01 00:46:00</td>\n",
       "      <td>1.4673</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2020-01-01 00:46:30</td>\n",
       "      <td>1.46735</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2020-01-01 00:47:00</td>\n",
       "      <td>1.4674</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2020-01-01 00:47:30</td>\n",
       "      <td>1.46745</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2020-01-01 00:48:00</td>\n",
       "      <td>1.4675</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2020-01-01 00:48:30</td>\n",
       "      <td>1.46755</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2020-01-01 00:49:00</td>\n",
       "      <td>1.4676</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2020-01-01 00:49:30</td>\n",
       "      <td>1.46765</td>\n",
       "      <td>103.741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2020-01-01 00:49:30</td>\n",
       "      <td>1.46</td>\n",
       "      <td>103.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    time      lat      lon\n",
       "45   2020-01-01 00:22:30  1.46495  103.738\n",
       "46   2020-01-01 00:23:00    1.465  103.738\n",
       "47   2020-01-01 00:23:30  1.46505  103.738\n",
       "48   2020-01-01 00:24:00   1.4651  103.738\n",
       "49   2020-01-01 00:24:30  1.46515  103.738\n",
       "50   2020-01-01 00:25:00   1.4652  103.738\n",
       "51   2020-01-01 00:25:30  1.46525  103.738\n",
       "52   2020-01-01 00:26:00   1.4653  103.739\n",
       "53   2020-01-01 00:26:30  1.46535  103.739\n",
       "54   2020-01-01 00:27:00   1.4654  103.739\n",
       "55   2020-01-01 00:27:30  1.46545  103.739\n",
       "56   2020-01-01 00:28:00   1.4655  103.739\n",
       "57   2020-01-01 00:28:30  1.46555  103.739\n",
       "58   2020-01-01 00:29:00   1.4656  103.739\n",
       "59   2020-01-01 00:29:30  1.46565  103.739\n",
       "60   2020-01-01 00:30:00   1.4657  103.739\n",
       "61   2020-01-01 00:30:30  1.46575  103.739\n",
       "62   2020-01-01 00:31:00   1.4658  103.739\n",
       "63   2020-01-01 00:31:30  1.46585  103.739\n",
       "64   2020-01-01 00:32:00   1.4659  103.739\n",
       "65   2020-01-01 00:32:30  1.46595  103.739\n",
       "66   2020-01-01 00:33:00    1.466  103.739\n",
       "67   2020-01-01 00:33:30  1.46605  103.739\n",
       "68   2020-01-01 00:34:00   1.4661  103.739\n",
       "69   2020-01-01 00:34:30  1.46615  103.739\n",
       "70   2020-01-01 00:35:00   1.4662  103.739\n",
       "71   2020-01-01 00:35:30  1.46625  103.739\n",
       "72   2020-01-01 00:36:00   1.4663   103.74\n",
       "73   2020-01-01 00:36:30  1.46635   103.74\n",
       "74   2020-01-01 00:37:00   1.4664   103.74\n",
       "75   2020-01-01 00:37:30  1.46645   103.74\n",
       "76   2020-01-01 00:38:00   1.4665   103.74\n",
       "77   2020-01-01 00:38:30  1.46655   103.74\n",
       "78   2020-01-01 00:39:00   1.4666   103.74\n",
       "79   2020-01-01 00:39:30  1.46665   103.74\n",
       "80   2020-01-01 00:40:00   1.4667   103.74\n",
       "81   2020-01-01 00:40:30  1.46675   103.74\n",
       "82   2020-01-01 00:41:00   1.4668   103.74\n",
       "83   2020-01-01 00:41:30  1.46685   103.74\n",
       "84   2020-01-01 00:42:00   1.4669   103.74\n",
       "85   2020-01-01 00:42:30  1.46695   103.74\n",
       "86   2020-01-01 00:43:00    1.467   103.74\n",
       "87   2020-01-01 00:43:30  1.46705   103.74\n",
       "88   2020-01-01 00:44:00   1.4671   103.74\n",
       "89   2020-01-01 00:44:30  1.46715   103.74\n",
       "90   2020-01-01 00:45:00   1.4672   103.74\n",
       "91   2020-01-01 00:45:30  1.46725   103.74\n",
       "92   2020-01-01 00:46:00   1.4673  103.741\n",
       "93   2020-01-01 00:46:30  1.46735  103.741\n",
       "94   2020-01-01 00:47:00   1.4674  103.741\n",
       "95   2020-01-01 00:47:30  1.46745  103.741\n",
       "96   2020-01-01 00:48:00   1.4675  103.741\n",
       "97   2020-01-01 00:48:30  1.46755  103.741\n",
       "98   2020-01-01 00:49:00   1.4676  103.741\n",
       "99   2020-01-01 00:49:30  1.46765  103.741\n",
       "100  2020-01-01 00:49:30     1.46   103.75"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traj.loc[45:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analysing point: 1           \r",
      "Analysing point: 2           \r",
      "Analysing point: 3           \r",
      "Analysing point: 4           \r",
      "Analysing point: 5           \r",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "(0, 26): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 2           \r",
      "Analysing point: 3           \r",
      "Analysing point: 4           \r",
      "Analysing point: 5           \r",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "(1, 27): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 3           \r",
      "Analysing point: 4           \r",
      "Analysing point: 5           \r",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "(2, 28): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 4           \r",
      "Analysing point: 5           \r",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "(3, 29): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 5           \r",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "(4, 30): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "(5, 31): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "(6, 32): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "(7, 33): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "(8, 34): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "(9, 35): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "(10, 36): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "(11, 37): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "(12, 38): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "(13, 39): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "(14, 40): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "(15, 41): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "(16, 42): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "(17, 43): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "(18, 44): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "(19, 45): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "(20, 46): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "(21, 47): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "(22, 48): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "(23, 49): distance > 200\n",
      "(780.0,26)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "(24, 50): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "(25, 51): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "(26, 52): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "(27, 53): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "(28, 54): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "(29, 55): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "(30, 56): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "(31, 57): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "(32, 58): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "(33, 59): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "(34, 60): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "(35, 61): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "(36, 62): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "(37, 63): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "(38, 64): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "(39, 65): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "(40, 66): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "(41, 67): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "(42, 68): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "(43, 69): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "(44, 70): distance > 200\n",
      "(780.0,26)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "(45, 71): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "(46, 72): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "(47, 73): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "(48, 74): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "(49, 75): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "(50, 76): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "(51, 77): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "(52, 78): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "(53, 79): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "(54, 80): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "(55, 81): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "(56, 82): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "(57, 83): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "(58, 84): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "(59, 85): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "(60, 86): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "(61, 87): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "(62, 88): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "(63, 89): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "(64, 90): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "(65, 91): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "(66, 92): distance > 200\n",
      "(780.0,26)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "(67, 93): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "(68, 94): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "(69, 95): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "(70, 96): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "(71, 97): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "(72, 98): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "(73, 99): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(74, 100): distance > 200\n",
      "(750.0,26)\n",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(75, 100): distance > 200\n",
      "(720.0,25)\n",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(76, 100): distance > 200\n",
      "(690.0,24)\n",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(77, 100): distance > 200\n",
      "(660.0,23)\n",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(78, 100): distance > 200\n",
      "(630.0,22)\n",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(79, 100): distance > 200\n",
      "(600.0,21)\n",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(80, 100): distance > 200\n",
      "(570.0,20)\n",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(81, 100): distance > 200\n",
      "(540.0,19)\n",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(82, 100): distance > 200\n",
      "(510.0,18)\n",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(83, 100): distance > 200\n",
      "(480.0,17)\n",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(84, 100): distance > 200\n",
      "(450.0,16)\n",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(85, 100): distance > 200\n",
      "(420.0,15)\n",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(86, 100): distance > 200\n",
      "(390.0,14)\n",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(87, 100): distance > 200\n",
      "(360.0,13)\n",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(88, 100): distance > 200\n",
      "(330.0,12)\n",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(89, 100): distance > 200\n",
      "(300.0,11)\n",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(90, 100): distance > 200\n",
      "(270.0,10)\n",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(91, 100): distance > 200\n",
      "(240.0,9)\n",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(92, 100): distance > 200\n",
      "(210.0,8)\n",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(93, 100): distance > 200\n",
      "(180.0,7)\n",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(94, 100): distance > 200\n",
      "(150.0,6)\n",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(95, 100): distance > 200\n",
      "(120.0,5)\n",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(96, 100): distance > 200\n",
      "(90.0,4)\n",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(97, 100): distance > 200\n",
      "(60.0,3)\n",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(98, 100): distance > 200\n",
      "(30.0,2)\n",
      "Analysing point: 100           \r",
      "(99, 100): distance > 200\n",
      "(0.0,1)\n"
     ]
    }
   ],
   "source": [
    "stayPoints = SPDA(traj)\n",
    "for point in stayPoints:\n",
    "    point.toString()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_ccfc0160e49843c38895fedd88d67860 {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.0/jquery.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jqueryui/1.10.2/jquery-ui.min.js"></script>
    <script src="https://rawcdn.githack.com/nezasa/iso8601-js-period/master/iso8601.min.js"></script>
    <script src="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.4/styles/default.min.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.control.min.css"/>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.18.1/moment.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.css"/>
</head>
<body>    
    
            <div class="folium-map" id="map_ccfc0160e49843c38895fedd88d67860" ></div>
        
</body>
<script>    
    
            var map_ccfc0160e49843c38895fedd88d67860 = L.map(
                "map_ccfc0160e49843c38895fedd88d67860",
                {
                    center: [1.4627, 103.7359],
                    crs: L.CRS.EPSG3857,
                    zoom: 16,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_8d01eacf1349437d9051ce1dbaa4e2b3 = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_ccfc0160e49843c38895fedd88d67860);
        
    
            L.Control.TimeDimensionCustom = L.Control.TimeDimension.extend({
                _getDisplayDateFormat: function(date){
                    var newdate = new moment(date);
                    console.log(newdate)
                    return newdate.format("YYYY-MM-DD HH:mm:ss");
                }
            });
            map_ccfc0160e49843c38895fedd88d67860.timeDimension = L.timeDimension(
                {
                    period: "PT1M",
                }
            );
            var timeDimensionControl = new L.Control.TimeDimensionCustom(
                {"autoPlay": false, "loopButton": false, "maxSpeed": 10, "minSpeed": 0.1, "playerOptions": {"loop": false, "startOver": true, "transitionTime": 200}, "position": "bottomleft", "timeSliderDragUpdate": false}
            );
            map_ccfc0160e49843c38895fedd88d67860.addControl(this.timeDimensionControl);

            var geoJsonLayer = L.geoJson({"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7359, 1.4627]}, "properties": {"time": "2020-01-01 00:00:00", "icon": "Marker", "style": {"color": "green"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73595, 1.46275]}, "properties": {"time": "2020-01-01 00:01:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.736, 1.4628]}, "properties": {"time": "2020-01-01 00:02:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73605, 1.4628500000000002]}, "properties": {"time": "2020-01-01 00:03:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73610000000001, 1.4629000000000003]}, "properties": {"time": "2020-01-01 00:04:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73615000000001, 1.4629500000000004]}, "properties": {"time": "2020-01-01 00:05:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73620000000001, 1.4630000000000005]}, "properties": {"time": "2020-01-01 00:06:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73625000000001, 1.4630500000000006]}, "properties": {"time": "2020-01-01 00:07:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73630000000001, 1.4631000000000007]}, "properties": {"time": "2020-01-01 00:08:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73635000000002, 1.4631500000000008]}, "properties": {"time": "2020-01-01 00:09:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73640000000002, 1.463200000000001]}, "properties": {"time": "2020-01-01 00:10:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73645000000002, 1.463250000000001]}, "properties": {"time": "2020-01-01 00:11:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73650000000002, 1.4633000000000012]}, "properties": {"time": "2020-01-01 00:12:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73655000000002, 1.4633500000000013]}, "properties": {"time": "2020-01-01 00:13:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73660000000002, 1.4634000000000014]}, "properties": {"time": "2020-01-01 00:14:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73665000000003, 1.4634500000000015]}, "properties": {"time": "2020-01-01 00:15:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73670000000003, 1.4635000000000016]}, "properties": {"time": "2020-01-01 00:16:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73675000000003, 1.4635500000000017]}, "properties": {"time": "2020-01-01 00:17:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73680000000003, 1.4636000000000018]}, "properties": {"time": "2020-01-01 00:18:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73685000000003, 1.463650000000002]}, "properties": {"time": "2020-01-01 00:19:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73690000000003, 1.463700000000002]}, "properties": {"time": "2020-01-01 00:20:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73695000000004, 1.463750000000002]}, "properties": {"time": "2020-01-01 00:21:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73700000000004, 1.4638000000000022]}, "properties": {"time": "2020-01-01 00:22:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73705000000004, 1.4638500000000023]}, "properties": {"time": "2020-01-01 00:23:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73710000000004, 1.4639000000000024]}, "properties": {"time": "2020-01-01 00:24:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73715000000004, 1.4639500000000025]}, "properties": {"time": "2020-01-01 00:25:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73720000000004, 1.4640000000000026]}, "properties": {"time": "2020-01-01 00:26:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73725000000005, 1.4640500000000027]}, "properties": {"time": "2020-01-01 00:27:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73730000000005, 1.4641000000000028]}, "properties": {"time": "2020-01-01 00:28:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73735000000005, 1.464150000000003]}, "properties": {"time": "2020-01-01 00:29:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73740000000005, 1.464200000000003]}, "properties": {"time": "2020-01-01 00:30:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73745000000005, 1.4642500000000032]}, "properties": {"time": "2020-01-01 00:31:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73750000000005, 1.4643000000000033]}, "properties": {"time": "2020-01-01 00:32:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73755000000006, 1.4643500000000034]}, "properties": {"time": "2020-01-01 00:33:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73760000000006, 1.4644000000000035]}, "properties": {"time": "2020-01-01 00:34:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73765000000006, 1.4644500000000036]}, "properties": {"time": "2020-01-01 00:35:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73770000000006, 1.4645000000000037]}, "properties": {"time": "2020-01-01 00:36:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73775000000006, 1.4645500000000038]}, "properties": {"time": "2020-01-01 00:37:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73780000000006, 1.464600000000004]}, "properties": {"time": "2020-01-01 00:38:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73785000000007, 1.464650000000004]}, "properties": {"time": "2020-01-01 00:39:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73790000000007, 1.464700000000004]}, "properties": {"time": "2020-01-01 00:40:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73795000000007, 1.4647500000000042]}, "properties": {"time": "2020-01-01 00:41:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73800000000007, 1.4648000000000043]}, "properties": {"time": "2020-01-01 00:42:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73805000000007, 1.4648500000000044]}, "properties": {"time": "2020-01-01 00:43:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73810000000007, 1.4649000000000045]}, "properties": {"time": "2020-01-01 00:44:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73815000000008, 1.4649500000000046]}, "properties": {"time": "2020-01-01 00:45:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73820000000008, 1.4650000000000047]}, "properties": {"time": "2020-01-01 00:46:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73825000000008, 1.4650500000000048]}, "properties": {"time": "2020-01-01 00:47:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73830000000008, 1.465100000000005]}, "properties": {"time": "2020-01-01 00:48:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73835000000008, 1.465150000000005]}, "properties": {"time": "2020-01-01 00:49:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73840000000008, 1.4652000000000052]}, "properties": {"time": "2020-01-01 00:50:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73845000000009, 1.4652500000000053]}, "properties": {"time": "2020-01-01 00:51:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73850000000009, 1.4653000000000054]}, "properties": {"time": "2020-01-01 00:52:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73855000000009, 1.4653500000000055]}, "properties": {"time": "2020-01-01 00:53:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73860000000009, 1.4654000000000056]}, "properties": {"time": "2020-01-01 00:54:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73865000000009, 1.4654500000000057]}, "properties": {"time": "2020-01-01 00:55:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7387000000001, 1.4655000000000058]}, "properties": {"time": "2020-01-01 00:56:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7387500000001, 1.465550000000006]}, "properties": {"time": "2020-01-01 00:57:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7388000000001, 1.465600000000006]}, "properties": {"time": "2020-01-01 00:58:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7388500000001, 1.4656500000000061]}, "properties": {"time": "2020-01-01 00:59:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7389000000001, 1.4657000000000062]}, "properties": {"time": "2020-01-01 01:00:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7389500000001, 1.4657500000000063]}, "properties": {"time": "2020-01-01 01:01:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7390000000001, 1.4658000000000064]}, "properties": {"time": "2020-01-01 01:02:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7390500000001, 1.4658500000000065]}, "properties": {"time": "2020-01-01 01:03:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73910000000011, 1.4659000000000066]}, "properties": {"time": "2020-01-01 01:04:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73915000000011, 1.4659500000000067]}, "properties": {"time": "2020-01-01 01:05:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73920000000011, 1.4660000000000069]}, "properties": {"time": "2020-01-01 01:06:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73925000000011, 1.466050000000007]}, "properties": {"time": "2020-01-01 01:07:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73930000000011, 1.466100000000007]}, "properties": {"time": "2020-01-01 01:08:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73935000000012, 1.4661500000000072]}, "properties": {"time": "2020-01-01 01:09:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73940000000012, 1.4662000000000073]}, "properties": {"time": "2020-01-01 01:10:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73945000000012, 1.4662500000000074]}, "properties": {"time": "2020-01-01 01:11:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73950000000012, 1.4663000000000075]}, "properties": {"time": "2020-01-01 01:12:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73955000000012, 1.4663500000000076]}, "properties": {"time": "2020-01-01 01:13:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73960000000012, 1.4664000000000077]}, "properties": {"time": "2020-01-01 01:14:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73965000000013, 1.4664500000000078]}, "properties": {"time": "2020-01-01 01:15:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73970000000013, 1.466500000000008]}, "properties": {"time": "2020-01-01 01:16:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73975000000013, 1.466550000000008]}, "properties": {"time": "2020-01-01 01:17:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73980000000013, 1.4666000000000081]}, "properties": {"time": "2020-01-01 01:18:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73985000000013, 1.4666500000000082]}, "properties": {"time": "2020-01-01 01:19:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73990000000013, 1.4667000000000083]}, "properties": {"time": "2020-01-01 01:20:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73995000000014, 1.4667500000000084]}, "properties": {"time": "2020-01-01 01:21:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74000000000014, 1.4668000000000085]}, "properties": {"time": "2020-01-01 01:22:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74005000000014, 1.4668500000000086]}, "properties": {"time": "2020-01-01 01:23:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74010000000014, 1.4669000000000088]}, "properties": {"time": "2020-01-01 01:24:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74015000000014, 1.4669500000000089]}, "properties": {"time": "2020-01-01 01:25:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74020000000014, 1.467000000000009]}, "properties": {"time": "2020-01-01 01:26:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74025000000015, 1.467050000000009]}, "properties": {"time": "2020-01-01 01:27:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74030000000015, 1.4671000000000092]}, "properties": {"time": "2020-01-01 01:28:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74035000000015, 1.4671500000000093]}, "properties": {"time": "2020-01-01 01:29:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74040000000015, 1.4672000000000094]}, "properties": {"time": "2020-01-01 01:30:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74045000000015, 1.4672500000000095]}, "properties": {"time": "2020-01-01 01:31:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74050000000015, 1.4673000000000096]}, "properties": {"time": "2020-01-01 01:32:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74055000000016, 1.4673500000000097]}, "properties": {"time": "2020-01-01 01:33:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74060000000016, 1.4674000000000098]}, "properties": {"time": "2020-01-01 01:34:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74065000000016, 1.46745000000001]}, "properties": {"time": "2020-01-01 01:35:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74070000000016, 1.46750000000001]}, "properties": {"time": "2020-01-01 01:36:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74075000000016, 1.4675500000000101]}, "properties": {"time": "2020-01-01 01:37:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74080000000016, 1.4676000000000102]}, "properties": {"time": "2020-01-01 01:38:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74085000000017, 1.4676500000000103]}, "properties": {"time": "2020-01-01 01:39:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75, 1.46]}, "properties": {"time": "2020-01-01 01:39:00", "icon": "Marker", "style": {"color": "red"}}}]}, {
                    pointToLayer: function (feature, latLng) {
                        if (feature.properties.icon == 'marker') {
                            if(feature.properties.iconstyle){
                                return new L.Marker(latLng, {
                                    icon: L.icon(feature.properties.iconstyle)});
                            }
                            //else
                            return new L.Marker(latLng);
                        }
                        if (feature.properties.icon == 'circle') {
                            if (feature.properties.iconstyle) {
                                return new L.circleMarker(latLng, feature.properties.iconstyle)
                                };
                            //else
                            return new L.circleMarker(latLng);
                        }
                        //else

                        return new L.Marker(latLng);
                    },
                    style: function (feature) {
                        return feature.properties.style;
                    },
                    onEachFeature: function(feature, layer) {
                        if (feature.properties.popup) {
                        layer.bindPopup(feature.properties.popup);
                        }
                    }
                })

            var timestamped_geo_json_6c72ebb7337941b3b8cfc2499898bd34 = L.timeDimension.layer.geoJson(
                geoJsonLayer,
                {
                    updateTimeDimension: true,
                    addlastPoint: false,
                    duration: undefined,
                }
            ).addTo(map_ccfc0160e49843c38895fedd88d67860);
        
    
            L.control.fullscreen(
                {"forceSeparateButton": false, "position": "topright", "title": "Full Screen", "titleCancel": "Exit Full Screen"}
            ).addTo(map_ccfc0160e49843c38895fedd88d67860);
        
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x17fe829b1c0>"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot(traj, stayPoints, zoom_start=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scenario 8 <a name=\"scenario8\"></a>\n",
    "\n",
    " The object moved then loitered around a few buildings for a while, then moved away and jumped back and forth over a large distance. **1 STAY POINT DETECTED.**\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "traj = pd.DataFrame(columns=[\"time\", \"lat\", \"lon\"])\n",
    "\n",
    "traj.loc[0, :] = [STARTDATE, 1.4927, 103.75]\n",
    "\n",
    "for i in range(1, 60):\n",
    "    randSmallNums = np.random.uniform(low=0, high=0.001, size=2)\n",
    "    traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4927+randSmallNums[0], 103.7414+randSmallNums[1]]\n",
    "    \n",
    "traj.loc[60, :]  = [traj.time[60-1] + timedelta(seconds=60), 1.36, 103.71]\n",
    "\n",
    "traj.loc[0, :] = [STARTDATE, 1.36, 103.71]\n",
    "\n",
    "for i in range(60, 120):\n",
    "    randSmallNums = np.random.uniform(low=0, high=0.05, size=2)\n",
    "    \n",
    "    if i % 2 == 1:\n",
    "        traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4927+randSmallNums[0], 103.7414+randSmallNums[1]]\n",
    "    else:\n",
    "        traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), 1.4521+randSmallNums[0], 103.8198+randSmallNums[1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analysing point: 1           \r",
      "(0, 1): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 2           \r",
      "Analysing point: 3           \r",
      "Analysing point: 4           \r",
      "Analysing point: 5           \r",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "(1, 60): distance > 200\n",
      "(3540.0,59)\n",
      "stay point found\n",
      "Analysing point: 61           \r",
      "(60, 61): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 62           \r",
      "(61, 62): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 63           \r",
      "(62, 63): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 64           \r",
      "(63, 64): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 65           \r",
      "(64, 65): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 66           \r",
      "(65, 66): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 67           \r",
      "(66, 67): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 68           \r",
      "(67, 68): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 69           \r",
      "(68, 69): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 70           \r",
      "(69, 70): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 71           \r",
      "(70, 71): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 72           \r",
      "(71, 72): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 73           \r",
      "(72, 73): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 74           \r",
      "(73, 74): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 75           \r",
      "(74, 75): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 76           \r",
      "(75, 76): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 77           \r",
      "(76, 77): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 78           \r",
      "(77, 78): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 79           \r",
      "(78, 79): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 80           \r",
      "(79, 80): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 81           \r",
      "(80, 81): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 82           \r",
      "(81, 82): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 83           \r",
      "(82, 83): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 84           \r",
      "(83, 84): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 85           \r",
      "(84, 85): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 86           \r",
      "(85, 86): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 87           \r",
      "(86, 87): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 88           \r",
      "(87, 88): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 89           \r",
      "(88, 89): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 90           \r",
      "(89, 90): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 91           \r",
      "(90, 91): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 92           \r",
      "(91, 92): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 93           \r",
      "(92, 93): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 94           \r",
      "(93, 94): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 95           \r",
      "(94, 95): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 96           \r",
      "(95, 96): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 97           \r",
      "(96, 97): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 98           \r",
      "(97, 98): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 99           \r",
      "(98, 99): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 100           \r",
      "(99, 100): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 101           \r",
      "(100, 101): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 102           \r",
      "(101, 102): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 103           \r",
      "(102, 103): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 104           \r",
      "(103, 104): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 105           \r",
      "(104, 105): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 106           \r",
      "(105, 106): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 107           \r",
      "(106, 107): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 108           \r",
      "(107, 108): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 109           \r",
      "(108, 109): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 110           \r",
      "(109, 110): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 111           \r",
      "(110, 111): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 112           \r",
      "(111, 112): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 113           \r",
      "(112, 113): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 114           \r",
      "(113, 114): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 115           \r",
      "(114, 115): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 116           \r",
      "(115, 116): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 117           \r",
      "(116, 117): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 118           \r",
      "(117, 118): distance > 200\n",
      "(60.0,1)\n",
      "Analysing point: 119           \r",
      "(118, 119): distance > 200\n",
      "(60.0,1)\n",
      "(arrivalTime: 2020-01-01 00:01:00, departTime: 2020-01-01 01:00:00, startIndex: 1, endIndex: 60, location: [103.74179492328285, 1.493142466017934])\n"
     ]
    }
   ],
   "source": [
    "stayPoints = SPDA(traj)\n",
    "for point in stayPoints:\n",
    "    point.toString()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_157554fa8451476db073681765f52fac {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.0/jquery.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jqueryui/1.10.2/jquery-ui.min.js"></script>
    <script src="https://rawcdn.githack.com/nezasa/iso8601-js-period/master/iso8601.min.js"></script>
    <script src="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.4/styles/default.min.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.control.min.css"/>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.18.1/moment.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.css"/>
</head>
<body>    
    
            <div class="folium-map" id="map_157554fa8451476db073681765f52fac" ></div>
        
</body>
<script>    
    
            var map_157554fa8451476db073681765f52fac = L.map(
                "map_157554fa8451476db073681765f52fac",
                {
                    center: [1.36, 103.71],
                    crs: L.CRS.EPSG3857,
                    zoom: 16,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_e5e3f8469a3d4102be2b9ae5de9cc09d = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_157554fa8451476db073681765f52fac);
        
    
            L.Control.TimeDimensionCustom = L.Control.TimeDimension.extend({
                _getDisplayDateFormat: function(date){
                    var newdate = new moment(date);
                    console.log(newdate)
                    return newdate.format("YYYY-MM-DD HH:mm:ss");
                }
            });
            map_157554fa8451476db073681765f52fac.timeDimension = L.timeDimension(
                {
                    period: "PT1M",
                }
            );
            var timeDimensionControl = new L.Control.TimeDimensionCustom(
                {"autoPlay": false, "loopButton": false, "maxSpeed": 10, "minSpeed": 0.1, "playerOptions": {"loop": false, "startOver": true, "transitionTime": 200}, "position": "bottomleft", "timeSliderDragUpdate": false}
            );
            map_157554fa8451476db073681765f52fac.addControl(this.timeDimensionControl);

            var geoJsonLayer = L.geoJson({"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.71, 1.36]}, "properties": {"time": "2020-01-01 00:00:00", "icon": "Marker", "style": {"color": "green"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74212462648919, 1.4931499151220318]}, "properties": {"time": "2020-01-01 00:01:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74170734656593, 1.4928715990302275]}, "properties": {"time": "2020-01-01 00:02:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74232805583229, 1.4932106389176645]}, "properties": {"time": "2020-01-01 00:03:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74168440511511, 1.4927143019089681]}, "properties": {"time": "2020-01-01 00:04:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74179223285927, 1.4932598943704773]}, "properties": {"time": "2020-01-01 00:05:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74237934353869, 1.4929321622060383]}, "properties": {"time": "2020-01-01 00:06:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414309773342, 1.4928611254813922]}, "properties": {"time": "2020-01-01 00:07:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74179207642659, 1.4927074208130369]}, "properties": {"time": "2020-01-01 00:08:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74154317243169, 1.4932412718464483]}, "properties": {"time": "2020-01-01 00:09:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74165966133403, 1.4929608251619715]}, "properties": {"time": "2020-01-01 00:10:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74177883584298, 1.4932584220488387]}, "properties": {"time": "2020-01-01 00:11:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74188242966353, 1.4929825411308144]}, "properties": {"time": "2020-01-01 00:12:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74152606382684, 1.4936122511782128]}, "properties": {"time": "2020-01-01 00:13:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74146946147617, 1.4927331481835255]}, "properties": {"time": "2020-01-01 00:14:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74209817174342, 1.4928820452299687]}, "properties": {"time": "2020-01-01 00:15:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74164398767886, 1.4934843287626942]}, "properties": {"time": "2020-01-01 00:16:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74179682643268, 1.4932239533501346]}, "properties": {"time": "2020-01-01 00:17:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74237717553996, 1.4927546890094485]}, "properties": {"time": "2020-01-01 00:18:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7423950814145, 1.4930290376970436]}, "properties": {"time": "2020-01-01 00:19:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74185865151784, 1.4928953900202218]}, "properties": {"time": "2020-01-01 00:20:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74172437655355, 1.4934356782190845]}, "properties": {"time": "2020-01-01 00:21:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74179492328285, 1.492987356297985]}, "properties": {"time": "2020-01-01 00:22:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74185902705251, 1.4933642838707972]}, "properties": {"time": "2020-01-01 00:23:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74179202824344, 1.493671315551039]}, "properties": {"time": "2020-01-01 00:24:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74227453738203, 1.4927101748428215]}, "properties": {"time": "2020-01-01 00:25:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74238829848693, 1.4933184501149965]}, "properties": {"time": "2020-01-01 00:26:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74161672438235, 1.4927598245332145]}, "properties": {"time": "2020-01-01 00:27:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7420972096206, 1.4928958673027486]}, "properties": {"time": "2020-01-01 00:28:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74204588931994, 1.4928398971073096]}, "properties": {"time": "2020-01-01 00:29:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7419628314304, 1.4935876485027644]}, "properties": {"time": "2020-01-01 00:30:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74175763210478, 1.4936739164495516]}, "properties": {"time": "2020-01-01 00:31:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74150865010182, 1.4929426002271458]}, "properties": {"time": "2020-01-01 00:32:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74210551729375, 1.4931504252661152]}, "properties": {"time": "2020-01-01 00:33:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74205244793485, 1.493142466017934]}, "properties": {"time": "2020-01-01 00:34:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7422205168948, 1.4931118218728592]}, "properties": {"time": "2020-01-01 00:35:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74162928701531, 1.493054449491805]}, "properties": {"time": "2020-01-01 00:36:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7415035789738, 1.4935831973620555]}, "properties": {"time": "2020-01-01 00:37:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74216676732385, 1.493687252119725]}, "properties": {"time": "2020-01-01 00:38:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74169369393098, 1.4933301662803284]}, "properties": {"time": "2020-01-01 00:39:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74166236872445, 1.4927169080860905]}, "properties": {"time": "2020-01-01 00:40:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74169714765976, 1.4935698267125268]}, "properties": {"time": "2020-01-01 00:41:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74238807882533, 1.4932825853838774]}, "properties": {"time": "2020-01-01 00:42:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7414449355554, 1.493659824575632]}, "properties": {"time": "2020-01-01 00:43:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74225929047614, 1.4934257003778928]}, "properties": {"time": "2020-01-01 00:44:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74146955270919, 1.4929736676854006]}, "properties": {"time": "2020-01-01 00:45:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74202422574687, 1.4929234511100415]}, "properties": {"time": "2020-01-01 00:46:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74147192094823, 1.4936472249823982]}, "properties": {"time": "2020-01-01 00:47:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74207758281037, 1.493407678096851]}, "properties": {"time": "2020-01-01 00:48:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7420120862035, 1.4929042775791916]}, "properties": {"time": "2020-01-01 00:49:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74163700836763, 1.492872666618287]}, "properties": {"time": "2020-01-01 00:50:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7421448716654, 1.4934919437722012]}, "properties": {"time": "2020-01-01 00:51:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74200447921798, 1.4935985110247634]}, "properties": {"time": "2020-01-01 00:52:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74225525449039, 1.4932288600327845]}, "properties": {"time": "2020-01-01 00:53:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74141402110904, 1.4927954099624792]}, "properties": {"time": "2020-01-01 00:54:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74145853964325, 1.493437739518203]}, "properties": {"time": "2020-01-01 00:55:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74208633693252, 1.4930440840267187]}, "properties": {"time": "2020-01-01 00:56:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74229348435237, 1.4928518500440917]}, "properties": {"time": "2020-01-01 00:57:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74172157307846, 1.4933496821307257]}, "properties": {"time": "2020-01-01 00:58:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74155336754974, 1.4930503625259088]}, "properties": {"time": "2020-01-01 00:59:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.85001762737348, 1.4957226267117507]}, "properties": {"time": "2020-01-01 01:00:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.76553637767918, 1.5356790571533274]}, "properties": {"time": "2020-01-01 01:01:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.84681193869223, 1.4599202050437605]}, "properties": {"time": "2020-01-01 01:02:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.76009801743338, 1.5162547759746172]}, "properties": {"time": "2020-01-01 01:03:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.84247369005905, 1.4558771179008558]}, "properties": {"time": "2020-01-01 01:04:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7680115989185, 1.5214346799977954]}, "properties": {"time": "2020-01-01 01:05:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.8693478217111, 1.478425003328438]}, "properties": {"time": "2020-01-01 01:06:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.77855501045286, 1.5389266512137962]}, "properties": {"time": "2020-01-01 01:07:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.84491305948256, 1.4776934283466518]}, "properties": {"time": "2020-01-01 01:08:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75311285993094, 1.5310037992273944]}, "properties": {"time": "2020-01-01 01:09:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.86551274616974, 1.4860814309221921]}, "properties": {"time": "2020-01-01 01:10:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7429186893306, 1.5289244195375722]}, "properties": {"time": "2020-01-01 01:11:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.85965557787793, 1.4525012717585355]}, "properties": {"time": "2020-01-01 01:12:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.78744833263738, 1.4972533170062707]}, "properties": {"time": "2020-01-01 01:13:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83820915966662, 1.4933583111561235]}, "properties": {"time": "2020-01-01 01:14:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.76906996609473, 1.5013261561019917]}, "properties": {"time": "2020-01-01 01:15:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83626566300177, 1.4855251193792942]}, "properties": {"time": "2020-01-01 01:16:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.76609563351556, 1.5253426927709817]}, "properties": {"time": "2020-01-01 01:17:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.8487081593516, 1.4600542918626314]}, "properties": {"time": "2020-01-01 01:18:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75602908719874, 1.5195350812970627]}, "properties": {"time": "2020-01-01 01:19:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.82693128560612, 1.4981160866804384]}, "properties": {"time": "2020-01-01 01:20:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.77223765068067, 1.5206387116458668]}, "properties": {"time": "2020-01-01 01:21:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.8359615904656, 1.4862970677414176]}, "properties": {"time": "2020-01-01 01:22:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7777116088555, 1.5002098961137729]}, "properties": {"time": "2020-01-01 01:23:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.84456698864805, 1.4840145896324777]}, "properties": {"time": "2020-01-01 01:24:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7732985190657, 1.5223528967055886]}, "properties": {"time": "2020-01-01 01:25:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.84931668772714, 1.462578986062596]}, "properties": {"time": "2020-01-01 01:26:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75454841337341, 1.5371025710396495]}, "properties": {"time": "2020-01-01 01:27:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83212137112373, 1.490099500522449]}, "properties": {"time": "2020-01-01 01:28:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.76551186520085, 1.512250346282304]}, "properties": {"time": "2020-01-01 01:29:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83764316645728, 1.4967431123586132]}, "properties": {"time": "2020-01-01 01:30:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.77644898768284, 1.5269104133974436]}, "properties": {"time": "2020-01-01 01:31:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83585625884845, 1.4750535438111245]}, "properties": {"time": "2020-01-01 01:32:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75984358190813, 1.4958741022839255]}, "properties": {"time": "2020-01-01 01:33:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.82736103427452, 1.4634105913079647]}, "properties": {"time": "2020-01-01 01:34:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74151744183158, 1.539990260688485]}, "properties": {"time": "2020-01-01 01:35:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.8475754872297, 1.500462427909596]}, "properties": {"time": "2020-01-01 01:36:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75439446686529, 1.516995827103475]}, "properties": {"time": "2020-01-01 01:37:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.84328670208983, 1.4542944467973358]}, "properties": {"time": "2020-01-01 01:38:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75779429441961, 1.503683367064456]}, "properties": {"time": "2020-01-01 01:39:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83994149804006, 1.5008877416319808]}, "properties": {"time": "2020-01-01 01:40:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74542414244176, 1.5318237314977827]}, "properties": {"time": "2020-01-01 01:41:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.84481176720632, 1.4916710558273705]}, "properties": {"time": "2020-01-01 01:42:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.77430735584869, 1.5129486624182302]}, "properties": {"time": "2020-01-01 01:43:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.847559306302, 1.4772123781031292]}, "properties": {"time": "2020-01-01 01:44:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.76084638343072, 1.5303192949104254]}, "properties": {"time": "2020-01-01 01:45:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.85763953464246, 1.4956940695737997]}, "properties": {"time": "2020-01-01 01:46:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.76226137393782, 1.5073876260103738]}, "properties": {"time": "2020-01-01 01:47:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.84492357087908, 1.4937702537786344]}, "properties": {"time": "2020-01-01 01:48:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.77633595428348, 1.501584093898169]}, "properties": {"time": "2020-01-01 01:49:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.83255900051742, 1.4844636699882359]}, "properties": {"time": "2020-01-01 01:50:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.75559957915272, 1.5065386528228422]}, "properties": {"time": "2020-01-01 01:51:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.84415936111584, 1.4652211680593452]}, "properties": {"time": "2020-01-01 01:52:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.77025366671954, 1.5319415285709286]}, "properties": {"time": "2020-01-01 01:53:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.85750667129967, 1.4898164524420106]}, "properties": {"time": "2020-01-01 01:54:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.77481972884515, 1.5159848513767034]}, "properties": {"time": "2020-01-01 01:55:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.84180658569966, 1.5010368518610901]}, "properties": {"time": "2020-01-01 01:56:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.77830728899201, 1.4957122124505666]}, "properties": {"time": "2020-01-01 01:57:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.86160813894978, 1.4570341344251045]}, "properties": {"time": "2020-01-01 01:58:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.76305257546966, 1.5014596435547964]}, "properties": {"time": "2020-01-01 01:59:00", "icon": "Marker", "style": {"color": "red"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74179492328285, 1.493142466017934]}, "properties": {"time": "2020-01-01 00:01:00", "icon": "circle", "style": {"color": "blue"}}}]}, {
                    pointToLayer: function (feature, latLng) {
                        if (feature.properties.icon == 'marker') {
                            if(feature.properties.iconstyle){
                                return new L.Marker(latLng, {
                                    icon: L.icon(feature.properties.iconstyle)});
                            }
                            //else
                            return new L.Marker(latLng);
                        }
                        if (feature.properties.icon == 'circle') {
                            if (feature.properties.iconstyle) {
                                return new L.circleMarker(latLng, feature.properties.iconstyle)
                                };
                            //else
                            return new L.circleMarker(latLng);
                        }
                        //else

                        return new L.Marker(latLng);
                    },
                    style: function (feature) {
                        return feature.properties.style;
                    },
                    onEachFeature: function(feature, layer) {
                        if (feature.properties.popup) {
                        layer.bindPopup(feature.properties.popup);
                        }
                    }
                })

            var timestamped_geo_json_c63881cc420c4e9399dcd073af240d62 = L.timeDimension.layer.geoJson(
                geoJsonLayer,
                {
                    updateTimeDimension: true,
                    addlastPoint: false,
                    duration: undefined,
                }
            ).addTo(map_157554fa8451476db073681765f52fac);
        
    
            L.control.fullscreen(
                {"forceSeparateButton": false, "position": "topright", "title": "Full Screen", "titleCancel": "Exit Full Screen"}
            ).addTo(map_157554fa8451476db073681765f52fac);
        
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x17fe80bffd0>"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot(traj, stayPoints, zoom_start=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scenario 9 <a name=\"scenario9\"></a>\n",
    "\n",
    "The object is moving in a straight line then loitered around a few buildings for a while. **1 STAY POINT DETECTED.**\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "traj = pd.DataFrame(columns=[\"time\", \"lat\", \"lon\"])\n",
    "\n",
    "traj.loc[0, :] = [STARTDATE, 1.4627, 103.7359]\n",
    "\n",
    "for i in range(1, 100):\n",
    "    traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=30), traj.lat[i-1]+0.00005, traj.lon[i-1]+0.00005]\n",
    "    \n",
    "for i in range(100, 160):\n",
    "    randSmallNums = np.random.uniform(low=0, high=0.001, size=2)\n",
    "    traj.loc[i, :] = [traj.time[i-1] + timedelta(seconds=60), traj.lat[99]+randSmallNums[0], traj.lon[99]+randSmallNums[1]]\n",
    "    \n",
    "traj.loc[160, :]  = [traj.time[160-1] + timedelta(seconds=60), 1.36, 103.71]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "401.37746904651493"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "haversine(traj.lon[0], traj.lat[0], traj.lon[51], traj.lat[51])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analysing point: 1           \r",
      "Analysing point: 2           \r",
      "Analysing point: 3           \r",
      "Analysing point: 4           \r",
      "Analysing point: 5           \r",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "(0, 26): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 2           \r",
      "Analysing point: 3           \r",
      "Analysing point: 4           \r",
      "Analysing point: 5           \r",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "(1, 27): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 3           \r",
      "Analysing point: 4           \r",
      "Analysing point: 5           \r",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "(2, 28): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 4           \r",
      "Analysing point: 5           \r",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "(3, 29): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 5           \r",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "(4, 30): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 6           \r",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "(5, 31): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 7           \r",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "(6, 32): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 8           \r",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "(7, 33): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 9           \r",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "(8, 34): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 10           \r",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "(9, 35): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 11           \r",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "(10, 36): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 12           \r",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "(11, 37): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 13           \r",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "(12, 38): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 14           \r",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "(13, 39): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 15           \r",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "(14, 40): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 16           \r",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "(15, 41): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 17           \r",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "(16, 42): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 18           \r",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "(17, 43): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 19           \r",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "(18, 44): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 20           \r",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "(19, 45): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 21           \r",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "(20, 46): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 22           \r",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "(21, 47): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 23           \r",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "(22, 48): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 24           \r",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "(23, 49): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 25           \r",
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "(24, 50): distance > 200\n",
      "(780.0,26)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analysing point: 26           \r",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "(25, 51): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 27           \r",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "(26, 52): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 28           \r",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "(27, 53): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 29           \r",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "(28, 54): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 30           \r",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "(29, 55): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 31           \r",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "(30, 56): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 32           \r",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "(31, 57): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 33           \r",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "(32, 58): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 34           \r",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "(33, 59): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 35           \r",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "(34, 60): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 36           \r",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "(35, 61): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 37           \r",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "(36, 62): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 38           \r",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "(37, 63): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 39           \r",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "(38, 64): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 40           \r",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "(39, 65): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 41           \r",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "(40, 66): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 42           \r",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "(41, 67): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 43           \r",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "(42, 68): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 44           \r",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "(43, 69): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 45           \r",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "(44, 70): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 46           \r",
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "(45, 71): distance > 200\n",
      "(780.0,26)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analysing point: 47           \r",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "(46, 72): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 48           \r",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "(47, 73): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 49           \r",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "(48, 74): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 50           \r",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "(49, 75): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 51           \r",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "(50, 76): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 52           \r",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "(51, 77): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 53           \r",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "(52, 78): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 54           \r",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "(53, 79): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 55           \r",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "(54, 80): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 56           \r",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "(55, 81): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 57           \r",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "(56, 82): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 58           \r",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "(57, 83): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 59           \r",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "(58, 84): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 60           \r",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "(59, 85): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 61           \r",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "(60, 86): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 62           \r",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "(61, 87): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 63           \r",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "(62, 88): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 64           \r",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "(63, 89): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 65           \r",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "(64, 90): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 66           \r",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "(65, 91): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 67           \r",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "(66, 92): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 68           \r",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "(67, 93): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 69           \r",
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "(68, 94): distance > 200\n",
      "(780.0,26)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Analysing point: 70           \r",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "(69, 95): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 71           \r",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "(70, 96): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 72           \r",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "(71, 97): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 73           \r",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "(72, 98): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 74           \r",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "(73, 99): distance > 200\n",
      "(780.0,26)\n",
      "Analysing point: 75           \r",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(74, 100): distance > 200\n",
      "(810.0,26)\n",
      "Analysing point: 76           \r",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(75, 100): distance > 200\n",
      "(780.0,25)\n",
      "Analysing point: 77           \r",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(76, 100): distance > 200\n",
      "(750.0,24)\n",
      "Analysing point: 78           \r",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(77, 100): distance > 200\n",
      "(720.0,23)\n",
      "Analysing point: 79           \r",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(78, 100): distance > 200\n",
      "(690.0,22)\n",
      "Analysing point: 80           \r",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(79, 100): distance > 200\n",
      "(660.0,21)\n",
      "Analysing point: 81           \r",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(80, 100): distance > 200\n",
      "(630.0,20)\n",
      "Analysing point: 82           \r",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(81, 100): distance > 200\n",
      "(600.0,19)\n",
      "Analysing point: 83           \r",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(82, 100): distance > 200\n",
      "(570.0,18)\n",
      "Analysing point: 84           \r",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(83, 100): distance > 200\n",
      "(540.0,17)\n",
      "Analysing point: 85           \r",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(84, 100): distance > 200\n",
      "(510.0,16)\n",
      "Analysing point: 86           \r",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "(85, 100): distance > 200\n",
      "(480.0,15)\n",
      "Analysing point: 87           \r",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "Analysing point: 101           \r",
      "(86, 101): distance > 200\n",
      "(510.0,15)\n",
      "Analysing point: 88           \r",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "Analysing point: 101           \r",
      "(87, 101): distance > 200\n",
      "(480.0,14)\n",
      "Analysing point: 89           \r",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "Analysing point: 101           \r",
      "(88, 101): distance > 200\n",
      "(450.0,13)\n",
      "Analysing point: 90           \r",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "Analysing point: 101           \r",
      "Analysing point: 102           \r",
      "Analysing point: 103           \r",
      "Analysing point: 104           \r",
      "Analysing point: 105           \r",
      "Analysing point: 106           \r",
      "Analysing point: 107           \r",
      "Analysing point: 108           \r",
      "Analysing point: 109           \r",
      "Analysing point: 110           \r",
      "Analysing point: 111           \r",
      "Analysing point: 112           \r",
      "Analysing point: 113           \r",
      "Analysing point: 114           \r",
      "(89, 114): distance > 200\n",
      "(1200.0,25)\n",
      "Analysing point: 91           \r",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "Analysing point: 101           \r",
      "Analysing point: 102           \r",
      "Analysing point: 103           \r",
      "Analysing point: 104           \r",
      "Analysing point: 105           \r",
      "Analysing point: 106           \r",
      "Analysing point: 107           \r",
      "Analysing point: 108           \r",
      "Analysing point: 109           \r",
      "Analysing point: 110           \r",
      "Analysing point: 111           \r",
      "Analysing point: 112           \r",
      "Analysing point: 113           \r",
      "Analysing point: 114           \r",
      "(90, 114): distance > 200\n",
      "(1170.0,24)\n",
      "Analysing point: 92           \r",
      "Analysing point: 93           \r",
      "Analysing point: 94           \r",
      "Analysing point: 95           \r",
      "Analysing point: 96           \r",
      "Analysing point: 97           \r",
      "Analysing point: 98           \r",
      "Analysing point: 99           \r",
      "Analysing point: 100           \r",
      "Analysing point: 101           \r",
      "Analysing point: 102           \r",
      "Analysing point: 103           \r",
      "Analysing point: 104           \r",
      "Analysing point: 105           \r",
      "Analysing point: 106           \r",
      "Analysing point: 107           \r",
      "Analysing point: 108           \r",
      "Analysing point: 109           \r",
      "Analysing point: 110           \r",
      "Analysing point: 111           \r",
      "Analysing point: 112           \r",
      "Analysing point: 113           \r",
      "Analysing point: 114           \r",
      "Analysing point: 115           \r",
      "Analysing point: 116           \r",
      "Analysing point: 117           \r",
      "Analysing point: 118           \r",
      "Analysing point: 119           \r",
      "Analysing point: 120           \r",
      "Analysing point: 121           \r",
      "Analysing point: 122           \r",
      "Analysing point: 123           \r",
      "Analysing point: 124           \r",
      "Analysing point: 125           \r",
      "Analysing point: 126           \r",
      "Analysing point: 127           \r",
      "Analysing point: 128           \r",
      "Analysing point: 129           \r",
      "Analysing point: 130           \r",
      "Analysing point: 131           \r",
      "Analysing point: 132           \r",
      "Analysing point: 133           \r",
      "Analysing point: 134           \r",
      "Analysing point: 135           \r",
      "Analysing point: 136           \r",
      "Analysing point: 137           \r",
      "Analysing point: 138           \r",
      "Analysing point: 139           \r",
      "Analysing point: 140           \r",
      "Analysing point: 141           \r",
      "Analysing point: 142           \r",
      "Analysing point: 143           \r",
      "Analysing point: 144           \r",
      "Analysing point: 145           \r",
      "Analysing point: 146           \r",
      "Analysing point: 147           \r",
      "Analysing point: 148           \r",
      "Analysing point: 149           \r",
      "Analysing point: 150           \r",
      "Analysing point: 151           \r",
      "Analysing point: 152           \r",
      "Analysing point: 153           \r",
      "Analysing point: 154           \r",
      "Analysing point: 155           \r",
      "Analysing point: 156           \r",
      "Analysing point: 157           \r",
      "Analysing point: 158           \r",
      "Analysing point: 159           \r",
      "Analysing point: 160           \r",
      "(91, 160): distance > 200\n",
      "(3900.0,69)\n",
      "stay point found\n",
      "(arrivalTime: 2020-01-01 00:45:30, departTime: 2020-01-01 01:50:30, startIndex: 91, endIndex: 160, location: [103.74134434486233, 1.468103999772683])\n"
     ]
    }
   ],
   "source": [
    "stayPoints = SPDA(traj)\n",
    "for point in stayPoints:\n",
    "    point.toString()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_521945381773454a9e149c9b1c264fcd {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.0/jquery.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jqueryui/1.10.2/jquery-ui.min.js"></script>
    <script src="https://rawcdn.githack.com/nezasa/iso8601-js-period/master/iso8601.min.js"></script>
    <script src="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/8.4/styles/default.min.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/socib/Leaflet.TimeDimension/master/dist/leaflet.timedimension.control.min.css"/>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/moment.js/2.18.1/moment.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.js"></script>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.css"/>
</head>
<body>    
    
            <div class="folium-map" id="map_521945381773454a9e149c9b1c264fcd" ></div>
        
</body>
<script>    
    
            var map_521945381773454a9e149c9b1c264fcd = L.map(
                "map_521945381773454a9e149c9b1c264fcd",
                {
                    center: [1.4627, 103.7359],
                    crs: L.CRS.EPSG3857,
                    zoom: 16,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_7a618a616c0243a0b9dba84beecb4975 = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_521945381773454a9e149c9b1c264fcd);
        
    
            L.Control.TimeDimensionCustom = L.Control.TimeDimension.extend({
                _getDisplayDateFormat: function(date){
                    var newdate = new moment(date);
                    console.log(newdate)
                    return newdate.format("YYYY-MM-DD HH:mm:ss");
                }
            });
            map_521945381773454a9e149c9b1c264fcd.timeDimension = L.timeDimension(
                {
                    period: "PT1M",
                }
            );
            var timeDimensionControl = new L.Control.TimeDimensionCustom(
                {"autoPlay": false, "loopButton": false, "maxSpeed": 10, "minSpeed": 0.1, "playerOptions": {"loop": false, "startOver": true, "transitionTime": 200}, "position": "bottomleft", "timeSliderDragUpdate": false}
            );
            map_521945381773454a9e149c9b1c264fcd.addControl(this.timeDimensionControl);

            var geoJsonLayer = L.geoJson({"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7359, 1.4627]}, "properties": {"time": "2020-01-01 00:00:00", "icon": "Marker", "style": {"color": "green"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73595, 1.46275]}, "properties": {"time": "2020-01-01 00:00:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.736, 1.4628]}, "properties": {"time": "2020-01-01 00:01:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73605, 1.4628500000000002]}, "properties": {"time": "2020-01-01 00:01:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73610000000001, 1.4629000000000003]}, "properties": {"time": "2020-01-01 00:02:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73615000000001, 1.4629500000000004]}, "properties": {"time": "2020-01-01 00:02:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73620000000001, 1.4630000000000005]}, "properties": {"time": "2020-01-01 00:03:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73625000000001, 1.4630500000000006]}, "properties": {"time": "2020-01-01 00:03:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73630000000001, 1.4631000000000007]}, "properties": {"time": "2020-01-01 00:04:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73635000000002, 1.4631500000000008]}, "properties": {"time": "2020-01-01 00:04:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73640000000002, 1.463200000000001]}, "properties": {"time": "2020-01-01 00:05:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73645000000002, 1.463250000000001]}, "properties": {"time": "2020-01-01 00:05:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73650000000002, 1.4633000000000012]}, "properties": {"time": "2020-01-01 00:06:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73655000000002, 1.4633500000000013]}, "properties": {"time": "2020-01-01 00:06:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73660000000002, 1.4634000000000014]}, "properties": {"time": "2020-01-01 00:07:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73665000000003, 1.4634500000000015]}, "properties": {"time": "2020-01-01 00:07:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73670000000003, 1.4635000000000016]}, "properties": {"time": "2020-01-01 00:08:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73675000000003, 1.4635500000000017]}, "properties": {"time": "2020-01-01 00:08:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73680000000003, 1.4636000000000018]}, "properties": {"time": "2020-01-01 00:09:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73685000000003, 1.463650000000002]}, "properties": {"time": "2020-01-01 00:09:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73690000000003, 1.463700000000002]}, "properties": {"time": "2020-01-01 00:10:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73695000000004, 1.463750000000002]}, "properties": {"time": "2020-01-01 00:10:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73700000000004, 1.4638000000000022]}, "properties": {"time": "2020-01-01 00:11:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73705000000004, 1.4638500000000023]}, "properties": {"time": "2020-01-01 00:11:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73710000000004, 1.4639000000000024]}, "properties": {"time": "2020-01-01 00:12:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73715000000004, 1.4639500000000025]}, "properties": {"time": "2020-01-01 00:12:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73720000000004, 1.4640000000000026]}, "properties": {"time": "2020-01-01 00:13:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73725000000005, 1.4640500000000027]}, "properties": {"time": "2020-01-01 00:13:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73730000000005, 1.4641000000000028]}, "properties": {"time": "2020-01-01 00:14:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73735000000005, 1.464150000000003]}, "properties": {"time": "2020-01-01 00:14:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73740000000005, 1.464200000000003]}, "properties": {"time": "2020-01-01 00:15:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73745000000005, 1.4642500000000032]}, "properties": {"time": "2020-01-01 00:15:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73750000000005, 1.4643000000000033]}, "properties": {"time": "2020-01-01 00:16:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73755000000006, 1.4643500000000034]}, "properties": {"time": "2020-01-01 00:16:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73760000000006, 1.4644000000000035]}, "properties": {"time": "2020-01-01 00:17:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73765000000006, 1.4644500000000036]}, "properties": {"time": "2020-01-01 00:17:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73770000000006, 1.4645000000000037]}, "properties": {"time": "2020-01-01 00:18:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73775000000006, 1.4645500000000038]}, "properties": {"time": "2020-01-01 00:18:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73780000000006, 1.464600000000004]}, "properties": {"time": "2020-01-01 00:19:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73785000000007, 1.464650000000004]}, "properties": {"time": "2020-01-01 00:19:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73790000000007, 1.464700000000004]}, "properties": {"time": "2020-01-01 00:20:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73795000000007, 1.4647500000000042]}, "properties": {"time": "2020-01-01 00:20:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73800000000007, 1.4648000000000043]}, "properties": {"time": "2020-01-01 00:21:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73805000000007, 1.4648500000000044]}, "properties": {"time": "2020-01-01 00:21:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73810000000007, 1.4649000000000045]}, "properties": {"time": "2020-01-01 00:22:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73815000000008, 1.4649500000000046]}, "properties": {"time": "2020-01-01 00:22:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73820000000008, 1.4650000000000047]}, "properties": {"time": "2020-01-01 00:23:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73825000000008, 1.4650500000000048]}, "properties": {"time": "2020-01-01 00:23:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73830000000008, 1.465100000000005]}, "properties": {"time": "2020-01-01 00:24:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73835000000008, 1.465150000000005]}, "properties": {"time": "2020-01-01 00:24:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73840000000008, 1.4652000000000052]}, "properties": {"time": "2020-01-01 00:25:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73845000000009, 1.4652500000000053]}, "properties": {"time": "2020-01-01 00:25:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73850000000009, 1.4653000000000054]}, "properties": {"time": "2020-01-01 00:26:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73855000000009, 1.4653500000000055]}, "properties": {"time": "2020-01-01 00:26:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73860000000009, 1.4654000000000056]}, "properties": {"time": "2020-01-01 00:27:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73865000000009, 1.4654500000000057]}, "properties": {"time": "2020-01-01 00:27:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7387000000001, 1.4655000000000058]}, "properties": {"time": "2020-01-01 00:28:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7387500000001, 1.465550000000006]}, "properties": {"time": "2020-01-01 00:28:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7388000000001, 1.465600000000006]}, "properties": {"time": "2020-01-01 00:29:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7388500000001, 1.4656500000000061]}, "properties": {"time": "2020-01-01 00:29:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7389000000001, 1.4657000000000062]}, "properties": {"time": "2020-01-01 00:30:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7389500000001, 1.4657500000000063]}, "properties": {"time": "2020-01-01 00:30:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7390000000001, 1.4658000000000064]}, "properties": {"time": "2020-01-01 00:31:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7390500000001, 1.4658500000000065]}, "properties": {"time": "2020-01-01 00:31:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73910000000011, 1.4659000000000066]}, "properties": {"time": "2020-01-01 00:32:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73915000000011, 1.4659500000000067]}, "properties": {"time": "2020-01-01 00:32:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73920000000011, 1.4660000000000069]}, "properties": {"time": "2020-01-01 00:33:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73925000000011, 1.466050000000007]}, "properties": {"time": "2020-01-01 00:33:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73930000000011, 1.466100000000007]}, "properties": {"time": "2020-01-01 00:34:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73935000000012, 1.4661500000000072]}, "properties": {"time": "2020-01-01 00:34:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73940000000012, 1.4662000000000073]}, "properties": {"time": "2020-01-01 00:35:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73945000000012, 1.4662500000000074]}, "properties": {"time": "2020-01-01 00:35:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73950000000012, 1.4663000000000075]}, "properties": {"time": "2020-01-01 00:36:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73955000000012, 1.4663500000000076]}, "properties": {"time": "2020-01-01 00:36:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73960000000012, 1.4664000000000077]}, "properties": {"time": "2020-01-01 00:37:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73965000000013, 1.4664500000000078]}, "properties": {"time": "2020-01-01 00:37:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73970000000013, 1.466500000000008]}, "properties": {"time": "2020-01-01 00:38:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73975000000013, 1.466550000000008]}, "properties": {"time": "2020-01-01 00:38:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73980000000013, 1.4666000000000081]}, "properties": {"time": "2020-01-01 00:39:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73985000000013, 1.4666500000000082]}, "properties": {"time": "2020-01-01 00:39:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73990000000013, 1.4667000000000083]}, "properties": {"time": "2020-01-01 00:40:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.73995000000014, 1.4667500000000084]}, "properties": {"time": "2020-01-01 00:40:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74000000000014, 1.4668000000000085]}, "properties": {"time": "2020-01-01 00:41:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74005000000014, 1.4668500000000086]}, "properties": {"time": "2020-01-01 00:41:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74010000000014, 1.4669000000000088]}, "properties": {"time": "2020-01-01 00:42:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74015000000014, 1.4669500000000089]}, "properties": {"time": "2020-01-01 00:42:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74020000000014, 1.467000000000009]}, "properties": {"time": "2020-01-01 00:43:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74025000000015, 1.467050000000009]}, "properties": {"time": "2020-01-01 00:43:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74030000000015, 1.4671000000000092]}, "properties": {"time": "2020-01-01 00:44:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74035000000015, 1.4671500000000093]}, "properties": {"time": "2020-01-01 00:44:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74040000000015, 1.4672000000000094]}, "properties": {"time": "2020-01-01 00:45:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74045000000015, 1.4672500000000095]}, "properties": {"time": "2020-01-01 00:45:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74050000000015, 1.4673000000000096]}, "properties": {"time": "2020-01-01 00:46:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74055000000016, 1.4673500000000097]}, "properties": {"time": "2020-01-01 00:46:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74060000000016, 1.4674000000000098]}, "properties": {"time": "2020-01-01 00:47:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74065000000016, 1.46745000000001]}, "properties": {"time": "2020-01-01 00:47:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74070000000016, 1.46750000000001]}, "properties": {"time": "2020-01-01 00:48:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74075000000016, 1.4675500000000101]}, "properties": {"time": "2020-01-01 00:48:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74080000000016, 1.4676000000000102]}, "properties": {"time": "2020-01-01 00:49:00", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74085000000017, 1.4676500000000103]}, "properties": {"time": "2020-01-01 00:49:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74166058101582, 1.4679314424909329]}, "properties": {"time": "2020-01-01 00:50:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74176702966072, 1.4682014341429213]}, "properties": {"time": "2020-01-01 00:51:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74169264983416, 1.4680555493751728]}, "properties": {"time": "2020-01-01 00:52:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74168809967982, 1.4678324581178859]}, "properties": {"time": "2020-01-01 00:53:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7413491465712, 1.4679948070506796]}, "properties": {"time": "2020-01-01 00:54:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7409899368306, 1.4682317855859144]}, "properties": {"time": "2020-01-01 00:55:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74100282009447, 1.4682795788046832]}, "properties": {"time": "2020-01-01 00:56:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74127077591517, 1.4676969772258264]}, "properties": {"time": "2020-01-01 00:57:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74150829227712, 1.4684691672723538]}, "properties": {"time": "2020-01-01 00:58:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74108279017705, 1.4680901811642872]}, "properties": {"time": "2020-01-01 00:59:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.740886236916, 1.4679169830777494]}, "properties": {"time": "2020-01-01 01:00:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74123108838215, 1.4683641698160934]}, "properties": {"time": "2020-01-01 01:01:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74135008469854, 1.4677371577968519]}, "properties": {"time": "2020-01-01 01:02:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74164040252955, 1.4679757505709639]}, "properties": {"time": "2020-01-01 01:03:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74166421066631, 1.4685308029474962]}, "properties": {"time": "2020-01-01 01:04:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74127809733362, 1.468644984577328]}, "properties": {"time": "2020-01-01 01:05:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74141101171179, 1.4681009908200926]}, "properties": {"time": "2020-01-01 01:06:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74126627065333, 1.4678073278971764]}, "properties": {"time": "2020-01-01 01:07:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74158904450542, 1.4682480423399262]}, "properties": {"time": "2020-01-01 01:08:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7413738146256, 1.468308475932117]}, "properties": {"time": "2020-01-01 01:09:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74157251387729, 1.4679659992022478]}, "properties": {"time": "2020-01-01 01:10:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74139841271261, 1.4681531666794365]}, "properties": {"time": "2020-01-01 01:11:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74094194987698, 1.4681297701995892]}, "properties": {"time": "2020-01-01 01:12:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74090024528802, 1.468290459621985]}, "properties": {"time": "2020-01-01 01:13:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74146117825094, 1.46812137874173]}, "properties": {"time": "2020-01-01 01:14:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74126669096012, 1.4682118512992537]}, "properties": {"time": "2020-01-01 01:15:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74133329092903, 1.4681702374575734]}, "properties": {"time": "2020-01-01 01:16:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7412945440715, 1.4677929453460423]}, "properties": {"time": "2020-01-01 01:17:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74133456410428, 1.4678050446913615]}, "properties": {"time": "2020-01-01 01:18:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74184931323013, 1.468330786818405]}, "properties": {"time": "2020-01-01 01:19:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74147685225944, 1.4677720438962716]}, "properties": {"time": "2020-01-01 01:20:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74152820470567, 1.468114824777301]}, "properties": {"time": "2020-01-01 01:21:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74152842669403, 1.468125832021393]}, "properties": {"time": "2020-01-01 01:22:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74184112653568, 1.4683498317166528]}, "properties": {"time": "2020-01-01 01:23:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74103078168666, 1.4677175146987942]}, "properties": {"time": "2020-01-01 01:24:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74155939494301, 1.4682209754792763]}, "properties": {"time": "2020-01-01 01:25:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74107185059295, 1.4681190097978098]}, "properties": {"time": "2020-01-01 01:26:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74170746205645, 1.4679274512504166]}, "properties": {"time": "2020-01-01 01:27:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74157416896449, 1.467921069196241]}, "properties": {"time": "2020-01-01 01:28:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74177740196107, 1.4679859519507543]}, "properties": {"time": "2020-01-01 01:29:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74089189017542, 1.4685026467264561]}, "properties": {"time": "2020-01-01 01:30:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74158793326329, 1.4677090551666412]}, "properties": {"time": "2020-01-01 01:31:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74089680556288, 1.4677691671628277]}, "properties": {"time": "2020-01-01 01:32:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74123600838753, 1.4679796116398383]}, "properties": {"time": "2020-01-01 01:33:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74107958315966, 1.4678300075663269]}, "properties": {"time": "2020-01-01 01:34:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74178487319499, 1.4682098104217443]}, "properties": {"time": "2020-01-01 01:35:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74152053904287, 1.468620589703485]}, "properties": {"time": "2020-01-01 01:36:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74107779067955, 1.46794025204079]}, "properties": {"time": "2020-01-01 01:37:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74173937961527, 1.4682688922441713]}, "properties": {"time": "2020-01-01 01:38:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74165011828512, 1.4684334362292155]}, "properties": {"time": "2020-01-01 01:39:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.7416078505981, 1.468103999772683]}, "properties": {"time": "2020-01-01 01:40:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74134434486233, 1.4683972492283037]}, "properties": {"time": "2020-01-01 01:41:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74094436521256, 1.468603909989422]}, "properties": {"time": "2020-01-01 01:42:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74115205562964, 1.4685207075095612]}, "properties": {"time": "2020-01-01 01:43:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74127820770053, 1.468528509672384]}, "properties": {"time": "2020-01-01 01:44:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74178510145585, 1.468138597248229]}, "properties": {"time": "2020-01-01 01:45:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74102790850486, 1.468200263987401]}, "properties": {"time": "2020-01-01 01:46:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74145411700415, 1.468002488508721]}, "properties": {"time": "2020-01-01 01:47:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74138938396648, 1.4681875054980993]}, "properties": {"time": "2020-01-01 01:48:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74155567797378, 1.4684495681906664]}, "properties": {"time": "2020-01-01 01:49:30", "icon": "circle", "style": {"color": "black"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.71, 1.36]}, "properties": {"time": "2020-01-01 01:50:30", "icon": "Marker", "style": {"color": "red"}}}, {"type": "Feature", "geometry": {"type": "Point", "coordinates": [103.74134434486233, 1.468103999772683]}, "properties": {"time": "2020-01-01 00:45:30", "icon": "circle", "style": {"color": "blue"}}}]}, {
                    pointToLayer: function (feature, latLng) {
                        if (feature.properties.icon == 'marker') {
                            if(feature.properties.iconstyle){
                                return new L.Marker(latLng, {
                                    icon: L.icon(feature.properties.iconstyle)});
                            }
                            //else
                            return new L.Marker(latLng);
                        }
                        if (feature.properties.icon == 'circle') {
                            if (feature.properties.iconstyle) {
                                return new L.circleMarker(latLng, feature.properties.iconstyle)
                                };
                            //else
                            return new L.circleMarker(latLng);
                        }
                        //else

                        return new L.Marker(latLng);
                    },
                    style: function (feature) {
                        return feature.properties.style;
                    },
                    onEachFeature: function(feature, layer) {
                        if (feature.properties.popup) {
                        layer.bindPopup(feature.properties.popup);
                        }
                    }
                })

            var timestamped_geo_json_2bdf2a94edd14e9ea43c2070414160b0 = L.timeDimension.layer.geoJson(
                geoJsonLayer,
                {
                    updateTimeDimension: true,
                    addlastPoint: false,
                    duration: undefined,
                }
            ).addTo(map_521945381773454a9e149c9b1c264fcd);
        
    
            L.control.fullscreen(
                {"forceSeparateButton": false, "position": "topright", "title": "Full Screen", "titleCancel": "Exit Full Screen"}
            ).addTo(map_521945381773454a9e149c9b1c264fcd);
        
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x17fe80dbf70>"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot(traj, stayPoints, zoom_start=16)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Bonus scenario <a name=\"bonus_scenario\"></a>\n",
    "\n",
    "The object is a college student from Tsinghua university.\n",
    "\n",
    "[Back to top](#top)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "# GEOLIFE_DATA_PATH = r\"C:\\Users\\Tay\\Documents\\GitHub\\Trajectory-Data-Mining\\Geolife Trajectories 1.3\\Data\"\n",
    "GEOLIFE_DATA_PATH = r\"C:\\Users\\tay.yq.XTRAMAN\\Documents\\GitHub\\Trajectory-Data-Mining\\Geolife Trajectories 1.3\\Data\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of users in Geolife dataset: 182\n"
     ]
    }
   ],
   "source": [
    "users = os.listdir(GEOLIFE_DATA_PATH)\n",
    "print(\"Number of users in Geolife dataset: \" + str(len(users)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "def readUserTraj(path_to_user):\n",
    "    '''\n",
    "    :param path_to_user: a path to the user's dataset according to the Geolife dataset file system\n",
    "    :return userTraj: a dataframe containing all of the user's trajectories. \n",
    "    Note that a person can have more than 1 disconnected trajectory, they're all joined together in `userTraj`.\n",
    "    '''\n",
    "    trajs = os.listdir(path_to_user + r\"\\Trajectory\")\n",
    "    col_names = [\"lat\", \"lon\", \"alt\", \"date\", \"time\"]\n",
    "    userTraj = pd.DataFrame(columns=[\"lat\", \"lon\", \"alt\", \"time\"])\n",
    "    \n",
    "    for i in range(len(trajs)):\n",
    "        TRAJ_PATH = path_to_user + r\"\\Trajectory\" + r\"\\\\\" + trajs[i]\n",
    "        traj = pd.read_csv(TRAJ_PATH, skiprows=6, header=None, usecols=[0,1,3,5,6], names=col_names)\n",
    "\n",
    "        # to combine date and time and change it to `datetime` type\n",
    "        for i in range(len(traj)):\n",
    "            traj.loc[i, \"time\"] = pd.to_datetime(traj.loc[i, \"date\"] + \" \" + traj.loc[i, \"time\"])\n",
    "\n",
    "        traj = traj.drop(columns=\"date\")\n",
    "        userTraj = userTraj.append(traj)\n",
    "    \n",
    "    userTraj = userTraj.reset_index(drop=True)\n",
    "    \n",
    "    return userTraj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 50.6 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "trajDataFrame = readUserTraj(GEOLIFE_DATA_PATH + r\"\\\\\" + users[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>alt</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>39.984094</td>\n",
       "      <td>116.319236</td>\n",
       "      <td>492</td>\n",
       "      <td>2008-10-23 05:53:05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>39.984198</td>\n",
       "      <td>116.319322</td>\n",
       "      <td>492</td>\n",
       "      <td>2008-10-23 05:53:06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>39.984224</td>\n",
       "      <td>116.319402</td>\n",
       "      <td>492</td>\n",
       "      <td>2008-10-23 05:53:11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>39.984211</td>\n",
       "      <td>116.319389</td>\n",
       "      <td>492</td>\n",
       "      <td>2008-10-23 05:53:16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>39.984217</td>\n",
       "      <td>116.319422</td>\n",
       "      <td>491</td>\n",
       "      <td>2008-10-23 05:53:21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108602</th>\n",
       "      <td>39.977969</td>\n",
       "      <td>116.326651</td>\n",
       "      <td>311</td>\n",
       "      <td>2008-12-15 00:30:58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108603</th>\n",
       "      <td>39.977946</td>\n",
       "      <td>116.326653</td>\n",
       "      <td>310</td>\n",
       "      <td>2008-12-15 00:31:03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108604</th>\n",
       "      <td>39.977897</td>\n",
       "      <td>116.326624</td>\n",
       "      <td>310</td>\n",
       "      <td>2008-12-15 00:31:08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108605</th>\n",
       "      <td>39.977882</td>\n",
       "      <td>116.326626</td>\n",
       "      <td>310</td>\n",
       "      <td>2008-12-15 00:31:13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108606</th>\n",
       "      <td>39.977879</td>\n",
       "      <td>116.326628</td>\n",
       "      <td>310</td>\n",
       "      <td>2008-12-15 00:31:18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>108607 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              lat         lon  alt                 time\n",
       "0       39.984094  116.319236  492  2008-10-23 05:53:05\n",
       "1       39.984198  116.319322  492  2008-10-23 05:53:06\n",
       "2       39.984224  116.319402  492  2008-10-23 05:53:11\n",
       "3       39.984211  116.319389  492  2008-10-23 05:53:16\n",
       "4       39.984217  116.319422  491  2008-10-23 05:53:21\n",
       "...           ...         ...  ...                  ...\n",
       "108602  39.977969  116.326651  311  2008-12-15 00:30:58\n",
       "108603  39.977946  116.326653  310  2008-12-15 00:31:03\n",
       "108604  39.977897  116.326624  310  2008-12-15 00:31:08\n",
       "108605  39.977882  116.326626  310  2008-12-15 00:31:13\n",
       "108606  39.977879  116.326628  310  2008-12-15 00:31:18\n",
       "\n",
       "[108607 rows x 4 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trajDataFrame"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset of size 108,607 is too large for visualisation. Note that the data is very dense (geolocation records are only 5 seconds apart) so I just took every tenth record of the dataset to make visualisation easier instead."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "stayPoints = SPDA(trajDataFrame)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"Number of staypoints: \" + str(len(stayPoints)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plot(trajDataFrame[::10].reset_index(drop=True), stayPoints, zoom_start=12, period='PT1H', add_last_point=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}