geographical_data_extraction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "from collections import defaultdict\n",
    "from osmxtract import overpass, location\n",
    "import pandas as pd\n",
    "import folium\n",
    "import numpy as np\n",
    "from functools import partial\n",
    "import pyproj\n",
    "from shapely.ops import transform\n",
    "from shapely.geometry import Point,Polygon,MultiLineString,MultiPolygon,LineString,shape\n",
    "from area import area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    },
    {
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     "text": [
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      "1962\n",
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      "1963\n",
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      "1965\n",
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      "1966\n",
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      "1967\n",
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      "1968\n",
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      "1969\n",
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      "1973\n",
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      "1974\n",
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      "1976\n",
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      "1977\n",
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      "1978\n",
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      "1979\n",
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      "1980\n",
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      "1981\n",
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      "1982\n",
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      "1983\n",
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      "1984\n",
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      "1985\n",
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      "sports\n",
      "1986\n",
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      "1987\n",
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      "1988\n",
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      "1989\n",
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      "1990\n",
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      "1991\n",
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      "1992\n",
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      "1993\n",
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      "1994\n",
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      "1995\n",
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      "1996\n",
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      "1998\n",
      "amenity\n",
      "public_transport\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shop\n",
      "craft\n",
      "office\n",
      "building\n",
      "highway\n",
      "industrial\n",
      "natural\n",
      "leisure\n",
      "junction\n",
      "power\n",
      "sports\n",
      "1999\n",
      "amenity\n",
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      "power\n",
      "sports\n",
      "2000\n",
      "amenity\n",
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      "power\n",
      "sports\n",
      "2001\n",
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      "power\n",
      "sports\n",
      "2004\n",
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      "power\n",
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      "2005\n",
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      "building\n",
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      "power\n",
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      "2006\n",
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      "power\n",
      "sports\n",
      "2007\n",
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      "building\n",
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      "power\n",
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      "2008\n",
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      "2009\n",
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      "2010\n",
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      "2011\n",
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      "2012\n",
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      "2013\n",
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      "2014\n",
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      "2015\n",
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      "2016\n",
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      "2017\n",
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      "2018\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "#this function takes lat lon and return map showing buffer geometry and also gives the buffer bounds\n",
    "def make_map(lat, lon):   \n",
    "    #make map and sorround by circle\n",
    "    m = folium.Map([lat, lon], zoom_start=15)\n",
    "    folium.Marker([lat, lon]).add_to(m)\n",
    "    #folium.Circle([lat, lon],radius=1000,color='red').add_to(m)\n",
    "    folium.LatLngPopup().add_to(m)\n",
    "    \n",
    "    #calculate bounds value of sorrounding bounds value\n",
    "    bounds = location.from_buffer(lat, lon, buffer_size=564)  #564 is equal to 1 km sq\n",
    "    proj_wgs84 = pyproj.Proj(init='epsg:4326')\n",
    "    def geodesic_point_buffer(lat, lon, km):\n",
    "        # Azimuthal equidistant projection\n",
    "        aeqd_proj = '+proj=aeqd +lat_0={lat} +lon_0={lon} +x_0=0 +y_0=0'\n",
    "        project = partial(\n",
    "            pyproj.transform,\n",
    "            pyproj.Proj(aeqd_proj.format(lat=lat, lon=lon)),\n",
    "            proj_wgs84)\n",
    "        buf = Point(0, 0).buffer(km * 564)  # distance in metres\n",
    "        return transform(project, buf).exterior.coords[:]\n",
    "\n",
    "    bound_points = np.array(geodesic_point_buffer(lat, lon, 1))\n",
    "    buffer_geom = Polygon(zip(bound_points[:, 0],bound_points[:, 1]))\n",
    "    folium.GeoJson(buffer_geom).add_to(m)\n",
    "    \n",
    "    return m,bounds,buffer_geom\n",
    "\n",
    "#this function calculates the distance betweenn two points on geographical map. it takes lat-lng of two points and\n",
    "#returns distanc ein meters (before calling this fuinction converts, lat/lng to radians through the function to_radian)\n",
    "def distance_between_points(lat1,lon1,lat2,lon2):\n",
    "    #R is earth diameter in meters\n",
    "    R = 6371000\n",
    "    dlon = lon2 - lon1\n",
    "    dlat = lat2 - lat1\n",
    "    a = np.sin(dlat / 2)**2 + np.cos(lat1) * np.cos(lat2) * np.sin(dlon / 2)**2\n",
    "    c = 2 * np.arctan2(np.sqrt(a), np.sqrt(1 - a))\n",
    "    distance = R * c\n",
    "    return distance \n",
    "def to_radians(theta):\n",
    "    return np.divide(np.dot(theta, np.pi), np.float32(180.0))\n",
    "\n",
    "def to_degrees(theta):\n",
    "    return np.divide(np.dot(theta, np.float32(180.0)), np.pi)\n",
    "\n",
    "# the function plots a shape and buffer. the buffer must be polygon while shape can be any of the following if statemenst \n",
    "def plot(poly,buffer_geom=0):\n",
    "    plt.figure()\n",
    "    if poly.geom_type=='Polygon':\n",
    "        x,y=poly.exterior.coords.xy\n",
    "        plt.plot(x,y)\n",
    "    elif poly.geom_type=='LineString':\n",
    "        x,y=np.array(shape(poly).coords.xy)\n",
    "        plt.plot(x,y)\n",
    "    elif poly.geom_type=='MultiPolygon':\n",
    "        for pol in poly:\n",
    "            x,y=pol.exterior.coords.xy\n",
    "            plt.plot(x,y)\n",
    "    elif poly.geom_type=='MultiLineString':\n",
    "        for pol in poly:\n",
    "            x,y=np.array(shape(pol).coords.xy)\n",
    "            plt.plot(x,y)\n",
    "        \n",
    "    if buffer_geom!=0:\n",
    "        x,y =buffer_geom.exterior.coords.xy\n",
    "        plt.plot(x,y)\n",
    "    plt.show()\n",
    "\n",
    "# this function calculates the difference. if there is a new polygon, it is tested whether it crossed the boundry with\n",
    "#with old polygon or not. if it crosess than the differnce is find out and returned.\n",
    "def calculate_diff(All_polygons,new_poly,diff_polys):\n",
    "    for prev_poly in All_polygons:\n",
    "        diff=new_poly.difference(prev_poly)\n",
    "        if (diff.is_empty):\n",
    "            continue\n",
    "        else:\n",
    "            if diff not in diff_polys:\n",
    "                diff_polys.append(diff)\n",
    "    return diff_polys\n",
    "\n",
    "\n",
    "# this function is only calls the above calculate_diff function \n",
    "def for_both_line_poly(new_line,buffer_geom,All_lines):\n",
    "        diff_lines=[]\n",
    "        if new_line.geom_type == 'Polygon' or new_line.geom_type == 'LineString':\n",
    "                diff_lines=calculate_diff(All_lines,new_line,diff_lines)\n",
    "\n",
    "        elif new_line.geom_type == 'MultiPolygon'or new_line.geom_type == 'MultiLineString':\n",
    "            for line in new_line:\n",
    "                diff_lines=calculate_diff(All_lines,line,diff_lines)\n",
    "        return diff_lines\n",
    "\n",
    "    \n",
    "#This functions calculates intersection of polygon with buffer, then checks whether this polygon already cross boundry\n",
    "# with old polygons or not by calling \"for_both_line_poly\" function. it then finds athe area with \"PIarea\" library. \n",
    "# Then add it to previous similar type of areas and updates feature dictionary\n",
    "def poly_area(features,poly,buffer_geom,nam,All_polygons):\n",
    "    total_area=0  \n",
    "\n",
    "    if poly.is_valid:\n",
    "        new_poly=poly.intersection(buffer_geom)\n",
    "    else:\n",
    "        poly=poly.buffer(0)\n",
    "        new_poly=poly.intersection(buffer_geom)\n",
    "    \n",
    "    #NO intersection is found so return\n",
    "    if new_poly.is_empty:\n",
    "        return features,All_polygons\n",
    "    #plot(new_poly,buffer_geom)\n",
    "    #now chek for overlap with all previous lines/polygon and subtract if there is overlap\n",
    "    diff_polys=for_both_line_poly(new_poly,buffer_geom,All_polygons)\n",
    "    \n",
    "    #if there is no difference among the polys, it means they dont cross  we will take original overlap line/poly\n",
    "    if len(diff_polys)<1:\n",
    "        diff_polys.append(new_poly)\n",
    "\n",
    "    #calculate the length of all the lines extracted\n",
    "    for poly in diff_polys:\n",
    "        \n",
    "        if poly.geom_type == 'Polygon':\n",
    "            All_polygons.append(poly)\n",
    "            obj = {'type':'Polygon','coordinates':[list(np.array(poly.exterior.coords.xy).T)]}\n",
    "            total_area=total_area+area(obj)\n",
    "        else:\n",
    "            for n_poly in poly:\n",
    "                All_polygons.append(n_poly)\n",
    "                obj = {'type':'Polygon','coordinates':[list(np.array(n_poly.exterior.coords.xy).T)]}\n",
    "                total_area=total_area+area(obj)       \n",
    "            \n",
    "    try:\n",
    "        features[nam]=features[nam]+total_area\n",
    "    except:\n",
    "        features[nam]=total_area\n",
    "    return features,All_polygons\n",
    "        \n",
    "#this function calucaltes length of line in meters from starting to ending point by iterating through all the points\n",
    "# a series of 'lat/lon line points is given and it returns length in meters \n",
    "def line_distance(coords):\n",
    "    start_point=coords[0]\n",
    "    total_dist=0\n",
    "    for ic in coords:\n",
    "        dist=distance_between_points(to_radians(start_point[0]),to_radians(start_point[1]),to_radians(ic[0]),to_radians(ic[1]))\n",
    "        total_dist=total_dist+dist\n",
    "        start_point=ic\n",
    "    return total_dist\n",
    "\n",
    "#This functions calculates intersection of line with buffer, then checks whether this line already cross boundry\n",
    "# with old polygons or not by calling \"for_both_line_poly\" function. it then finds the length with \"line_distance\" \n",
    "#function. Then add it to previous similar type of line and updates feature dictionary\n",
    "def line_length(line_features,line,buffer_geom,nam,All_lines):\n",
    "    total_dist=0  \n",
    "    \n",
    "    new_line=line.intersection(buffer_geom)\n",
    "    #NO intersection is found so return\n",
    "    if new_line.is_empty:\n",
    "        return line_features,All_lines\n",
    "\n",
    "    #now chek for overlap with all previous lines/polygon and subtract if there is overlap\n",
    "    diff_lines=for_both_line_poly(new_line,buffer_geom,All_lines)\n",
    "    \n",
    "    \n",
    "    #if there is no difference among the lines/polys, it means they dont cross  we will take original overlap line/poly\n",
    "    if len(diff_lines)<1:\n",
    "        diff_lines.append(new_line)\n",
    "    #calculate the length of all the lines extracted\n",
    "    for line in diff_lines:\n",
    "        if line.geom_type == 'LineString':\n",
    "            All_lines.append(line)\n",
    "            dist=line_distance(np.array(shape(line).coords))\n",
    "            total_dist=total_dist+dist\n",
    "        else:\n",
    "            for n_line in line:\n",
    "                All_lines.append(n_line)\n",
    "                dist=line_distance(np.array(shape(n_line).coords))\n",
    "                total_dist=total_dist+dist  \n",
    "                \n",
    "\n",
    "    #save it to the features \n",
    "    try:\n",
    "        line_features[nam]=line_features[nam]+total_dist\n",
    "    except:\n",
    "        line_features[nam]=total_dist\n",
    "\n",
    "        \n",
    "    return line_features,All_lines\n",
    "\n",
    "#this function extarcts the geometry from the repsonse and then then sseparates lines and polygon structure. then call\n",
    "#\"poly_area\" function for calulating area or \"line_length\" function for finding length. this function deals with \"way\" structures\n",
    "#returned from the map\n",
    "def poly_line_features(poly_features,line_features,linestr,buffer_geom,tags):\n",
    "    All_lines=[]\n",
    "    All_polygons=[]\n",
    "    \n",
    "    for i,fi in enumerate(linestr['features']):\n",
    "        coords=fi[\"geometry\"][\"coordinates\"]\n",
    "        if len(coords)==0:\n",
    "            continue\n",
    "        else:\n",
    "            nam=fi['properties'][tags]\n",
    "            \n",
    "            if len(coords)>2:\n",
    "                if coords[0]==coords[-1]:\n",
    "                    poly_features,All_polygons=poly_area(poly_features,Polygon(coords),buffer_geom,nam,All_polygons)\n",
    "                    \n",
    "                else:\n",
    "                    line_features,All_lines=line_length(line_features,LineString(coords),buffer_geom,nam,All_lines)\n",
    "\n",
    "    return poly_features,line_features,All_polygons,All_lines\n",
    "\n",
    "#This function deals with \"realtion\" structure of osm. as these are multipolygons so we need one additional iteration,\n",
    "#it combines all the polygons for single area, converts it to valid polygon and then find the area and add it to feature \n",
    "#dictionary\n",
    "def multi_poly_area(features,multi,buffer_geom,tags,All_polygons):\n",
    "    for i,fi in enumerate(multi['features']):\n",
    "        \n",
    "        coords=fi[\"geometry\"][\"coordinates\"]\n",
    "        allpoly=[]\n",
    "        for each_poly in coords[0]:\n",
    "            if len(each_poly)==0:\n",
    "                continue\n",
    "            else:\n",
    "                allpoly.extend(each_poly)\n",
    "        else:\n",
    "            \n",
    "            nam=fi['properties'][tags]\n",
    "            if len(allpoly)>2:\n",
    "#                 pl=np.array(allpoly).T\n",
    "#                 plt.figure()\n",
    "#                 plt.plot(pl[0],pl[1])\n",
    "                try:\n",
    "                    allpoly=(Polygon(allpoly)).buffer(0)\n",
    "                except:\n",
    "                    print(\"already a polygon\")\n",
    "                features,All_polygons=poly_area(features,allpoly,buffer_geom,nam,All_polygons) \n",
    "    return features,All_polygons\n",
    "\n",
    "#this functions deals with \"node\" structure of osm. it counts the numeber of nodes of each type.\n",
    "def point_counts(point_features,poi,tags):\n",
    "    All_points=[]\n",
    "    for i,fi in enumerate(poi['features']):\n",
    "        nam=fi['properties'][tags]\n",
    "        coords=fi[\"geometry\"][\"coordinates\"]\n",
    "        new_poly=Point(coords).intersection(buffer_geom)\n",
    "        if new_poly.geom_type=='Point':\n",
    "            All_points.append(coords)\n",
    "            try :\n",
    "                point_features[nam]=point_features[nam]+1\n",
    "            except:\n",
    "                point_features[nam]=1\n",
    "    return point_features,All_points\n",
    "\n",
    "#this function takes a tag value and bounds and returns all  the nodes, way and relations in a buffer area.\n",
    "def get_query_response(bounds,tags):\n",
    "    query = overpass.ql_query(bounds, tag=tags)\n",
    "    response = overpass.request(query)\n",
    "    try:\n",
    "        multi= overpass.as_geojson(response, 'multipolygons')\n",
    "    except:\n",
    "        multi=0\n",
    "    try:\n",
    "        poi= overpass.as_geojson(response, 'point')\n",
    "    except:\n",
    "        poi=0\n",
    "    try:\n",
    "        linestr= overpass.as_geojson(response, 'linestring')\n",
    "    except:\n",
    "        linestr=0\n",
    "    #folium.GeoJson(multi).add_to(map1) \n",
    "    return poi,linestr,multi\n",
    "\n",
    "\n",
    "\n",
    "# the file geodata is already made, we just open it read it and assign all features to dict and then add other features along the way\n",
    "# if the script is running for \"first time\"  comment the below 3 lines. if program fails somewhere, remember to uncomment it,\n",
    "# and run the program otherwise you will lose initially asaved data\n",
    "#####\n",
    "import pickle\n",
    "\n",
    "infile = open(\"geodata_all_sensors_2017.pkl\",'rb')\n",
    "old_dict = pickle.load(infile)\n",
    "#old_dict={}\n",
    "combinefeatures =old_dict\n",
    "####\n",
    "\n",
    "#programs iterates through all sensor locations , get the kilometer buffer and extarct all the information.\n",
    "#combinefeatures =old_dict\n",
    "#all_locations=pd.read_csv('../airbox data/airbox/device_locations.csv')\n",
    "airbox2017=pd.read_csv(\"../airbox data/airbox/airbox-2017.csv\")\n",
    "all_locations=airbox2017[['device_id','lat','lon']].drop_duplicates(keep='last')\n",
    "not_collected=[]\n",
    "for i,loc in enumerate(all_locations.iterrows()):\n",
    "    \n",
    "    if loc[1][0] in list(old_dict.keys()):\n",
    "        continue\n",
    "    else:\n",
    "        try:\n",
    "            lat, lon=loc[1][1],loc[1][2]\n",
    "            map1,bounds,buffer_geom=make_map(lat, lon)\n",
    "            point_features={}\n",
    "            poly_features={}\n",
    "            line_features={}\n",
    "            multi_features={}\n",
    "            try:\n",
    "                print(i)\n",
    "                for tags in ['amenity','public_transport','shop', 'craft', 'office','building','highway','industrial','natural','leisure','junction','power','sports']:\n",
    "                    poi,linestr,multi=get_query_response(bounds,tags)\n",
    "                    if poi!=0:\n",
    "                        point_features,All_points=point_counts(point_features,poi,tags)\n",
    "                    if linestr!=0:\n",
    "                        poly_features,line_features,All_polygons,All_lines=poly_line_features(poly_features,line_features,linestr,buffer_geom,tags)\n",
    "                    if multi!=0:\n",
    "                        poly_features,All_polygons=multi_poly_area(poly_features,multi,buffer_geom,tags,All_polygons)\n",
    "                    combinefeatures[loc[1][0]]=[point_features,line_features,poly_features]\n",
    "                    print(tags)\n",
    "                    if i%10==0:\n",
    "                        f = open(\"geodata_all_sensors_2017.pkl\",\"wb\")\n",
    "                        pickle.dump(combinefeatures,f)\n",
    "                        f.close()\n",
    "            except:\n",
    "                not_collected.append(loc[1][0])\n",
    "                continue\n",
    "        except:\n",
    "            continue\n",
    "  \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "infile = open(\"geodata.pkl\",'rb')\n",
    "new_dict = pickle.load(infile)\n",
    "len(list(new_dict.keys()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization of single buffer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "\n",
    "all_locations=pd.read_csv('../airbox data/airbox/device_locations.csv')\n",
    "\n",
    "for i,loc in enumerate(all_locations.iterrows()):\n",
    "    lat, lon=loc[1][2],loc[1][3]\n",
    "map1,bounds,buffer_geom=make_map(lat, lon)\n",
    "\n",
    "point_features={}\n",
    "poly_features={}\n",
    "line_features={}\n",
    "multi_features={}\n",
    "psss=[]\n",
    "polyss=[]\n",
    "liness=[]\n",
    "map1,bounds,buffer_geom=make_map(lat, lon)\n",
    "for tags in ['amenity','public_transport','shop', 'craft', 'office','building','highway','industrial','natural','leisure','junction','power','sports']:\n",
    "    poi,linestr,multi=get_query_response(bounds,tags)\n",
    "    point_features,All_points=point_counts(point_features,poi,tags)\n",
    "    poly_features,line_features,All_polygons,All_lines=poly_line_features(poly_features,line_features,linestr,buffer_geom,tags)\n",
    "    poly_features,All_polygons=multi_poly_area(poly_features,multi,buffer_geom,tags,All_polygons)\n",
    "    polyss=polyss+All_polygons\n",
    "    liness=liness+All_lines\n",
    "    psss=psss+All_points\n",
    "    \n",
    "for po in psss:\n",
    "    folium.Marker([po[1],po[0]]).add_to(map1)\n",
    "map1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "map1,bounds,buffer_geom=make_map(lat, lon)\n",
    "for po in polyss:\n",
    "    array=np.array(po.exterior.coords.xy).T \n",
    "    array[:,[0, 1]] = array[:,[1, 0]]\n",
    "    folium.PolyLine(array).add_to(map1)\n",
    "map1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "map1,bounds,buffer_geom=make_map(lat, lon)\n",
    "for po in liness:\n",
    "    array=np.array(po.coords.xy).T \n",
    "    array[:,[0, 1]] = array[:,[1, 0]]\n",
    "    folium.PolyLine(array).add_to(map1)\n",
    "map1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"100.0\" height=\"100.0\" viewBox=\"-0.12 0.88 3.24 3.24\" preserveAspectRatio=\"xMinYMin meet\"><g transform=\"matrix(1,0,0,-1,0,5.0)\"><path fill-rule=\"evenodd\" fill=\"#66cc99\" stroke=\"#555555\" stroke-width=\"0.06480000000000001\" opacity=\"0.6\" d=\"M 0.0,1.0 L 0.0,2.0 L 0.0,3.0 L 0.0,4.0 L 1.0,4.0 L 2.0,4.0 L 3.0,4.0 L 3.0,3.0 L 3.0,1.0 L 2.0,1.0 L 1.0,1.0 L 0.0,1.0 z\" /></g></svg>"
      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x11f376438>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from shapely.geometry import Point,Polygon,MultiLineString,MultiPolygon\n",
    "import numpy as np\n",
    "po1=np.array([[0,1],[0,2],[0,3],[0,4],[1,4],[2,4],[3,4],[3,3],[3,1],[2,1],[1,1],[0,1]])\n",
    "a=Polygon(po1)\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
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      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x11f36bf28>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a.buffer(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "po1=np.array([[0,1],[0,2],[0,3],[0,4],[1,4],[2,4],[3,4],[3,3],[3,1],[2,1],[1,1],[0,1]])\n",
    "a=Polygon(po1)\n",
    "po1=po1.T\n",
    "plt.plot(po1[0],po1[1])\n",
    "po=np.array([[1,3],[2,3],[4,4],[4,1],[3,1],[1,3]])\n",
    "b=Polygon(po)\n",
    "po=po.T\n",
    "\n",
    "plt.plot(po[0],po[1])\n",
    "plt.show()\n",
    "inter=b.intersection(a)\n",
    "x,y=inter.exterior.coords.xy\n",
    "plt.figure()\n",
    "plt.plot(po1[0],po1[1])\n",
    "plt.plot(x,y)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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