docs/notebooks/search_sonderingen.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example of DOV search methods for CPT measurements (sonderingen)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/DOV-Vlaanderen/pydov/master?filepath=docs%2Fnotebooks%2Fsearch_sonderingen.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Use cases explained below\n",
    "* Get CPT measurements in a bounding box\n",
    "* Get CPT measurements with specific properties\n",
    "* Get CPT measurements in a bounding box based on specific properties\n",
    "* Select CPT measurements in a municipality and return depth\n",
    "* Get CPT measurements based on fields not available in the standard output dataframe\n",
    "* Get CPT measurements data, returning fields not available in the standard output dataframe\n",
    "* Get CPT measurements in a municipality and where groundwater related data are available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import inspect, sys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pydov"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get information about the datatype 'Sondering'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pydov.search.sondering import SonderingSearch\n",
    "sondering = SonderingSearch()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A description is provided for the 'Sondering' datatype:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'In DOV worden de resultaten van sonderingen ter beschikking gesteld. Bij het uitvoeren van de sondering wordt een sondeerpunt met conus bij middel van buizen statisch de grond ingedrukt. Continu of met bepaalde diepte-intervallen wordt de weerstand aan de conuspunt, de plaatselijke wrijvingsweerstand en/of de totale indringingsweerstand opgemeten. Eventueel kan aanvullend de waterspanning in de grond rond de conus tijdens de sondering worden opgemeten met een waterspanningsmeter. Het op diepte drukken van de sondeerbuizen gebeurt met een indrukapparaat. De nodige reactie voor het indrukken van de buizen wordt geleverd door een verankering en/of door het gewicht van de sondeerwagen. De totale indrukcapaciteit varieert van 25 kN tot 250 kN, afhankelijk van apparaat en opstellingswijze.'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sondering.get_description()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The different fields that are available for objects of the 'Sondering' datatype can be requested with the get_fields() method:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "id\n",
      "sondeernummer\n",
      "pkey_sondering\n",
      "weerstandsdiagram\n",
      "meetreeks\n",
      "x\n",
      "y\n",
      "start_sondering_mtaw\n",
      "gemeente\n",
      "diepte_sondering_van\n",
      "diepte_sondering_tot\n",
      "datum_aanvang\n",
      "uitvoerder\n",
      "conus\n",
      "sondeermethode\n",
      "apparaat\n",
      "informele_stratigrafie\n",
      "formele_stratigrafie\n",
      "hydrogeologische_stratigrafie\n",
      "opdrachten\n",
      "eerste_invoer\n",
      "geom\n",
      "datum_gw_meting\n",
      "diepte_gw_m\n",
      "lengte\n",
      "diepte\n",
      "qc\n",
      "Qt\n",
      "fs\n",
      "u\n",
      "i\n",
      "mv_mtaw\n"
     ]
    }
   ],
   "source": [
    "fields = sondering.get_fields()\n",
    "\n",
    "# print available fields\n",
    "for f in fields.values():\n",
    "    print(f['name'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can get more information of a field by requesting it from the fields dictionary:\n",
    "* *name*: name of the field\n",
    "* *definition*: definition of this field\n",
    "* *cost*: currently this is either 1 or 10, depending on the datasource of the field. It is an indication of the expected time it will take to retrieve this field in the output dataframe.\n",
    "* *notnull*: whether the field is mandatory or not\n",
    "* *type*: datatype of the values of this field"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'name': 'diepte_sondering_tot',\n",
       " 'definition': 'Maximumdiepte van de sondering ten opzichte van het aanvangspeil, in meter.',\n",
       " 'type': 'float',\n",
       " 'notnull': False,\n",
       " 'query': True,\n",
       " 'cost': 1}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fields['diepte_sondering_tot']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Optionally, if the values of the field have a specific domain the possible values are listed as *values*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'E': None, 'M1': None, 'M2': None, 'M4': None, 'U': None, 'onbekend': None}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fields['conus']['values']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example use cases"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get CPT measurements in a bounding box"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get data for all the CPT measurements that are geographically located within the bounds of the specified box.\n",
    "\n",
    "The coordinates are in the Belgian Lambert72 (EPSG:31370) coordinate system and are given in the order of lower left x, lower left y, upper right x, upper right y."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[000/001] .\n",
      "[000/001] .\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pkey_sondering</th>\n",
       "      <th>sondeernummer</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>mv_mtaw</th>\n",
       "      <th>start_sondering_mtaw</th>\n",
       "      <th>diepte_sondering_van</th>\n",
       "      <th>diepte_sondering_tot</th>\n",
       "      <th>datum_aanvang</th>\n",
       "      <th>uitvoerder</th>\n",
       "      <th>...</th>\n",
       "      <th>apparaat</th>\n",
       "      <th>datum_gw_meting</th>\n",
       "      <th>diepte_gw_m</th>\n",
       "      <th>lengte</th>\n",
       "      <th>diepte</th>\n",
       "      <th>qc</th>\n",
       "      <th>Qt</th>\n",
       "      <th>fs</th>\n",
       "      <th>u</th>\n",
       "      <th>i</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-72/555-SXVIII</td>\n",
       "      <td>153008.0</td>\n",
       "      <td>206985.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1973-03-21</td>\n",
       "      <td>Rijksinstituut voor Grondmechanica</td>\n",
       "      <td>...</td>\n",
       "      <td>100 kN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.6</td>\n",
       "      <td>2.06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-72/555-SXVIII</td>\n",
       "      <td>153008.0</td>\n",
       "      <td>206985.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1973-03-21</td>\n",
       "      <td>Rijksinstituut voor Grondmechanica</td>\n",
       "      <td>...</td>\n",
       "      <td>100 kN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.6</td>\n",
       "      <td>4.26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-72/555-SXVIII</td>\n",
       "      <td>153008.0</td>\n",
       "      <td>206985.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1973-03-21</td>\n",
       "      <td>Rijksinstituut voor Grondmechanica</td>\n",
       "      <td>...</td>\n",
       "      <td>100 kN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.6</td>\n",
       "      <td>3.46</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-72/555-SXVIII</td>\n",
       "      <td>153008.0</td>\n",
       "      <td>206985.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1973-03-21</td>\n",
       "      <td>Rijksinstituut voor Grondmechanica</td>\n",
       "      <td>...</td>\n",
       "      <td>100 kN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-72/555-SXVIII</td>\n",
       "      <td>153008.0</td>\n",
       "      <td>206985.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1973-03-21</td>\n",
       "      <td>Rijksinstituut voor Grondmechanica</td>\n",
       "      <td>...</td>\n",
       "      <td>100 kN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.53</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      pkey_sondering      sondeernummer  \\\n",
       "0  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-72/555-SXVIII   \n",
       "1  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-72/555-SXVIII   \n",
       "2  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-72/555-SXVIII   \n",
       "3  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-72/555-SXVIII   \n",
       "4  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-72/555-SXVIII   \n",
       "\n",
       "          x         y  mv_mtaw  start_sondering_mtaw  diepte_sondering_van  \\\n",
       "0  153008.0  206985.0      NaN                  15.8                   0.0   \n",
       "1  153008.0  206985.0      NaN                  15.8                   0.0   \n",
       "2  153008.0  206985.0      NaN                  15.8                   0.0   \n",
       "3  153008.0  206985.0      NaN                  15.8                   0.0   \n",
       "4  153008.0  206985.0      NaN                  15.8                   0.0   \n",
       "\n",
       "   diepte_sondering_tot datum_aanvang                          uitvoerder  \\\n",
       "0                  36.0    1973-03-21  Rijksinstituut voor Grondmechanica   \n",
       "1                  36.0    1973-03-21  Rijksinstituut voor Grondmechanica   \n",
       "2                  36.0    1973-03-21  Rijksinstituut voor Grondmechanica   \n",
       "3                  36.0    1973-03-21  Rijksinstituut voor Grondmechanica   \n",
       "4                  36.0    1973-03-21  Rijksinstituut voor Grondmechanica   \n",
       "\n",
       "   ... apparaat datum_gw_meting  diepte_gw_m  lengte  diepte   qc    Qt  fs  \\\n",
       "0  ...   100 kN             NaN          NaN     0.2     NaN  1.6  2.06 NaN   \n",
       "1  ...   100 kN             NaN          NaN     0.4     NaN  3.6  4.26 NaN   \n",
       "2  ...   100 kN             NaN          NaN     0.6     NaN  2.6  3.46 NaN   \n",
       "3  ...   100 kN             NaN          NaN     0.8     NaN  4.0  5.66 NaN   \n",
       "4  ...   100 kN             NaN          NaN     1.0     NaN  3.0  6.53 NaN   \n",
       "\n",
       "    u   i  \n",
       "0 NaN NaN  \n",
       "1 NaN NaN  \n",
       "2 NaN NaN  \n",
       "3 NaN NaN  \n",
       "4 NaN NaN  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pydov.util.location import Within, Box\n",
    "\n",
    "df = sondering.search(location=Within(Box(152999, 206930, 153050, 207935)))\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataframe contains one CPT measurement where multiple measurement points. The available data are flattened to represent unique attributes per row of the dataframe.\n",
    "\n",
    "Using the *pkey_sondering* field one can request the details of this borehole in a webbrowser:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://www.dov.vlaanderen.be/data/sondering/1973-016812\n"
     ]
    }
   ],
   "source": [
    "for pkey_sondering in set(df.pkey_sondering):\n",
    "    print(pkey_sondering)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get CPT measurements with specific properties"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next to querying CPT based on their geographic location within a bounding box, we can also search for CPT measurements matching a specific set of properties. For this we can build a query using a combination of the 'Sondering' fields and operators provided by the WFS protocol.\n",
    "\n",
    "A list of possible operators can be found below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['PropertyIsBetween',\n",
       " 'PropertyIsEqualTo',\n",
       " 'PropertyIsGreaterThan',\n",
       " 'PropertyIsGreaterThanOrEqualTo',\n",
       " 'PropertyIsLessThan',\n",
       " 'PropertyIsLessThanOrEqualTo',\n",
       " 'PropertyIsLike',\n",
       " 'PropertyIsNotEqualTo',\n",
       " 'PropertyIsNull',\n",
       " 'SortProperty']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[i for i,j in inspect.getmembers(sys.modules['owslib.fes2'], inspect.isclass) if 'Property' in i]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this example we build a query using the *PropertyIsEqualTo* operator to find all CPT measuremetns that are within the community (gemeente) of 'Herstappe':"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[000/001] .\n",
      "[000/029] .............................\n"
     ]
    },
    {
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       "      <th></th>\n",
       "      <th>pkey_sondering</th>\n",
       "      <th>sondeernummer</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>mv_mtaw</th>\n",
       "      <th>start_sondering_mtaw</th>\n",
       "      <th>diepte_sondering_van</th>\n",
       "      <th>diepte_sondering_tot</th>\n",
       "      <th>datum_aanvang</th>\n",
       "      <th>uitvoerder</th>\n",
       "      <th>...</th>\n",
       "      <th>apparaat</th>\n",
       "      <th>datum_gw_meting</th>\n",
       "      <th>diepte_gw_m</th>\n",
       "      <th>lengte</th>\n",
       "      <th>diepte</th>\n",
       "      <th>qc</th>\n",
       "      <th>Qt</th>\n",
       "      <th>fs</th>\n",
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       "      <th>i</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-75/194-S1</td>\n",
       "      <td>150310.0</td>\n",
       "      <td>169796.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1975-05-20</td>\n",
       "      <td>Rijksinstituut voor Grondmechanica</td>\n",
       "      <td>...</td>\n",
       "      <td>25 kN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.97</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-75/194-S1</td>\n",
       "      <td>150310.0</td>\n",
       "      <td>169796.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1975-05-20</td>\n",
       "      <td>Rijksinstituut voor Grondmechanica</td>\n",
       "      <td>...</td>\n",
       "      <td>25 kN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.97</td>\n",
       "      <td>1.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-75/194-S1</td>\n",
       "      <td>150310.0</td>\n",
       "      <td>169796.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1975-05-20</td>\n",
       "      <td>Rijksinstituut voor Grondmechanica</td>\n",
       "      <td>...</td>\n",
       "      <td>25 kN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.97</td>\n",
       "      <td>1.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-75/194-S1</td>\n",
       "      <td>150310.0</td>\n",
       "      <td>169796.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1975-05-20</td>\n",
       "      <td>Rijksinstituut voor Grondmechanica</td>\n",
       "      <td>...</td>\n",
       "      <td>25 kN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.97</td>\n",
       "      <td>1.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-75/194-S1</td>\n",
       "      <td>150310.0</td>\n",
       "      <td>169796.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1975-05-20</td>\n",
       "      <td>Rijksinstituut voor Grondmechanica</td>\n",
       "      <td>...</td>\n",
       "      <td>25 kN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.97</td>\n",
       "      <td>1.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      pkey_sondering  sondeernummer         x  \\\n",
       "0  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-75/194-S1  150310.0   \n",
       "1  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-75/194-S1  150310.0   \n",
       "2  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-75/194-S1  150310.0   \n",
       "3  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-75/194-S1  150310.0   \n",
       "4  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-75/194-S1  150310.0   \n",
       "\n",
       "          y  mv_mtaw  start_sondering_mtaw  diepte_sondering_van  \\\n",
       "0  169796.0      NaN                  56.3                   0.0   \n",
       "1  169796.0      NaN                  56.3                   0.0   \n",
       "2  169796.0      NaN                  56.3                   0.0   \n",
       "3  169796.0      NaN                  56.3                   0.0   \n",
       "4  169796.0      NaN                  56.3                   0.0   \n",
       "\n",
       "   diepte_sondering_tot datum_aanvang                          uitvoerder  \\\n",
       "0                   4.5    1975-05-20  Rijksinstituut voor Grondmechanica   \n",
       "1                   4.5    1975-05-20  Rijksinstituut voor Grondmechanica   \n",
       "2                   4.5    1975-05-20  Rijksinstituut voor Grondmechanica   \n",
       "3                   4.5    1975-05-20  Rijksinstituut voor Grondmechanica   \n",
       "4                   4.5    1975-05-20  Rijksinstituut voor Grondmechanica   \n",
       "\n",
       "   ... apparaat datum_gw_meting  diepte_gw_m  lengte  diepte   qc  Qt  fs   u  \\\n",
       "0  ...    25 kN             NaN         1.97     1.0     NaN  3.3 NaN NaN NaN   \n",
       "1  ...    25 kN             NaN         1.97     1.1     NaN  2.9 NaN NaN NaN   \n",
       "2  ...    25 kN             NaN         1.97     1.2     NaN  2.7 NaN NaN NaN   \n",
       "3  ...    25 kN             NaN         1.97     1.3     NaN  2.4 NaN NaN NaN   \n",
       "4  ...    25 kN             NaN         1.97     1.4     NaN  3.6 NaN NaN NaN   \n",
       "\n",
       "    i  \n",
       "0 NaN  \n",
       "1 NaN  \n",
       "2 NaN  \n",
       "3 NaN  \n",
       "4 NaN  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from owslib.fes2 import PropertyIsEqualTo\n",
    "\n",
    "query = PropertyIsEqualTo(propertyname='gemeente',\n",
    "                          literal='Elsene')\n",
    "df = sondering.search(query=query)\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once again we can use the *pkey_sondering* as a permanent link to the information of these CPT measurements:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://www.dov.vlaanderen.be/data/sondering/1976-013900\n",
      "https://www.dov.vlaanderen.be/data/sondering/1976-030140\n",
      "https://www.dov.vlaanderen.be/data/sondering/1971-023323\n",
      "https://www.dov.vlaanderen.be/data/sondering/1976-030148\n",
      "https://www.dov.vlaanderen.be/data/sondering/1971-023091\n",
      "https://www.dov.vlaanderen.be/data/sondering/1980-024719\n",
      "https://www.dov.vlaanderen.be/data/sondering/1974-016927\n",
      "https://www.dov.vlaanderen.be/data/sondering/1992-000337\n",
      "https://www.dov.vlaanderen.be/data/sondering/1992-000335\n",
      "https://www.dov.vlaanderen.be/data/sondering/1971-022776\n",
      "https://www.dov.vlaanderen.be/data/sondering/1980-024720\n",
      "https://www.dov.vlaanderen.be/data/sondering/1976-014638\n",
      "https://www.dov.vlaanderen.be/data/sondering/1971-023319\n",
      "https://www.dov.vlaanderen.be/data/sondering/1971-022775\n",
      "https://www.dov.vlaanderen.be/data/sondering/1976-013899\n",
      "https://www.dov.vlaanderen.be/data/sondering/1975-014064\n",
      "https://www.dov.vlaanderen.be/data/sondering/1971-023320\n",
      "https://www.dov.vlaanderen.be/data/sondering/1976-014640\n",
      "https://www.dov.vlaanderen.be/data/sondering/1976-030150\n",
      "https://www.dov.vlaanderen.be/data/sondering/1975-014063\n",
      "https://www.dov.vlaanderen.be/data/sondering/1992-000336\n",
      "https://www.dov.vlaanderen.be/data/sondering/1971-023321\n",
      "https://www.dov.vlaanderen.be/data/sondering/1974-016926\n",
      "https://www.dov.vlaanderen.be/data/sondering/1976-013898\n",
      "https://www.dov.vlaanderen.be/data/sondering/1971-023322\n",
      "https://www.dov.vlaanderen.be/data/sondering/1976-030128\n",
      "https://www.dov.vlaanderen.be/data/sondering/1992-000339\n",
      "https://www.dov.vlaanderen.be/data/sondering/1971-022777\n",
      "https://www.dov.vlaanderen.be/data/sondering/1992-000338\n"
     ]
    }
   ],
   "source": [
    "for pkey_sondering in set(df.pkey_sondering):\n",
    "    print(pkey_sondering)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get CPT measurements in a bounding box based on specific properties"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can combine a query on attributes with a query on geographic location to get the CPT measurements within a bounding box that have specific properties.\n",
    "\n",
    "The following example requests the CPT measurements with a depth greater than or equal to 2000 meters within the given bounding box.\n",
    "\n",
    "(Note that the datatype of the *literal* parameter should be a string, regardless of the datatype of this field in the output dataframe.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[000/001] .\n",
      "[000/021] .....................\n"
     ]
    },
    {
     "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>pkey_sondering</th>\n",
       "      <th>sondeernummer</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>mv_mtaw</th>\n",
       "      <th>start_sondering_mtaw</th>\n",
       "      <th>diepte_sondering_van</th>\n",
       "      <th>diepte_sondering_tot</th>\n",
       "      <th>datum_aanvang</th>\n",
       "      <th>uitvoerder</th>\n",
       "      <th>...</th>\n",
       "      <th>apparaat</th>\n",
       "      <th>datum_gw_meting</th>\n",
       "      <th>diepte_gw_m</th>\n",
       "      <th>lengte</th>\n",
       "      <th>diepte</th>\n",
       "      <th>qc</th>\n",
       "      <th>Qt</th>\n",
       "      <th>fs</th>\n",
       "      <th>u</th>\n",
       "      <th>i</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-07/054-S3</td>\n",
       "      <td>202348.46</td>\n",
       "      <td>213129.09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.27</td>\n",
       "      <td>1.5</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2007-05-10</td>\n",
       "      <td>VO - Afdeling Geotechniek</td>\n",
       "      <td>...</td>\n",
       "      <td>200 kN - TRACK-TRUCK</td>\n",
       "      <td>2007-05-10 10:40:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.55</td>\n",
       "      <td>1.55</td>\n",
       "      <td>0.60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-07/054-S3</td>\n",
       "      <td>202348.46</td>\n",
       "      <td>213129.09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.27</td>\n",
       "      <td>1.5</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2007-05-10</td>\n",
       "      <td>VO - Afdeling Geotechniek</td>\n",
       "      <td>...</td>\n",
       "      <td>200 kN - TRACK-TRUCK</td>\n",
       "      <td>2007-05-10 10:40:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.60</td>\n",
       "      <td>1.60</td>\n",
       "      <td>0.48</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-07/054-S3</td>\n",
       "      <td>202348.46</td>\n",
       "      <td>213129.09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.27</td>\n",
       "      <td>1.5</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2007-05-10</td>\n",
       "      <td>VO - Afdeling Geotechniek</td>\n",
       "      <td>...</td>\n",
       "      <td>200 kN - TRACK-TRUCK</td>\n",
       "      <td>2007-05-10 10:40:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.65</td>\n",
       "      <td>1.65</td>\n",
       "      <td>0.57</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-07/054-S3</td>\n",
       "      <td>202348.46</td>\n",
       "      <td>213129.09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.27</td>\n",
       "      <td>1.5</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2007-05-10</td>\n",
       "      <td>VO - Afdeling Geotechniek</td>\n",
       "      <td>...</td>\n",
       "      <td>200 kN - TRACK-TRUCK</td>\n",
       "      <td>2007-05-10 10:40:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.70</td>\n",
       "      <td>1.70</td>\n",
       "      <td>0.86</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-07/054-S3</td>\n",
       "      <td>202348.46</td>\n",
       "      <td>213129.09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.27</td>\n",
       "      <td>1.5</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2007-05-10</td>\n",
       "      <td>VO - Afdeling Geotechniek</td>\n",
       "      <td>...</td>\n",
       "      <td>200 kN - TRACK-TRUCK</td>\n",
       "      <td>2007-05-10 10:40:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.75</td>\n",
       "      <td>1.75</td>\n",
       "      <td>0.90</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      pkey_sondering  sondeernummer  \\\n",
       "0  https://www.dov.vlaanderen.be/data/sondering/2...  GEO-07/054-S3   \n",
       "1  https://www.dov.vlaanderen.be/data/sondering/2...  GEO-07/054-S3   \n",
       "2  https://www.dov.vlaanderen.be/data/sondering/2...  GEO-07/054-S3   \n",
       "3  https://www.dov.vlaanderen.be/data/sondering/2...  GEO-07/054-S3   \n",
       "4  https://www.dov.vlaanderen.be/data/sondering/2...  GEO-07/054-S3   \n",
       "\n",
       "           x          y  mv_mtaw  start_sondering_mtaw  diepte_sondering_van  \\\n",
       "0  202348.46  213129.09      NaN                 26.27                   1.5   \n",
       "1  202348.46  213129.09      NaN                 26.27                   1.5   \n",
       "2  202348.46  213129.09      NaN                 26.27                   1.5   \n",
       "3  202348.46  213129.09      NaN                 26.27                   1.5   \n",
       "4  202348.46  213129.09      NaN                 26.27                   1.5   \n",
       "\n",
       "   diepte_sondering_tot datum_aanvang                 uitvoerder  ...  \\\n",
       "0                  20.0    2007-05-10  VO - Afdeling Geotechniek  ...   \n",
       "1                  20.0    2007-05-10  VO - Afdeling Geotechniek  ...   \n",
       "2                  20.0    2007-05-10  VO - Afdeling Geotechniek  ...   \n",
       "3                  20.0    2007-05-10  VO - Afdeling Geotechniek  ...   \n",
       "4                  20.0    2007-05-10  VO - Afdeling Geotechniek  ...   \n",
       "\n",
       "               apparaat     datum_gw_meting diepte_gw_m  lengte  diepte    qc  \\\n",
       "0  200 kN - TRACK-TRUCK 2007-05-10 10:40:00         NaN    1.55    1.55  0.60   \n",
       "1  200 kN - TRACK-TRUCK 2007-05-10 10:40:00         NaN    1.60    1.60  0.48   \n",
       "2  200 kN - TRACK-TRUCK 2007-05-10 10:40:00         NaN    1.65    1.65  0.57   \n",
       "3  200 kN - TRACK-TRUCK 2007-05-10 10:40:00         NaN    1.70    1.70  0.86   \n",
       "4  200 kN - TRACK-TRUCK 2007-05-10 10:40:00         NaN    1.75    1.75  0.90   \n",
       "\n",
       "   Qt   fs   u    i  \n",
       "0 NaN -1.0 NaN  0.2  \n",
       "1 NaN  0.0 NaN  0.2  \n",
       "2 NaN  0.0 NaN  0.2  \n",
       "3 NaN  0.0 NaN  0.3  \n",
       "4 NaN  0.0 NaN  0.3  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from owslib.fes2 import PropertyIsGreaterThanOrEqualTo\n",
    "\n",
    "query = PropertyIsGreaterThanOrEqualTo(\n",
    "            propertyname='diepte_sondering_tot',\n",
    "            literal='20')\n",
    "\n",
    "df = sondering.search(\n",
    "    location=Within(Box(200000, 211000, 205000, 214000)),\n",
    "    query=query\n",
    "    )\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can look at one of the CPT measurements in a webbrowser using its *pkey_sondering*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://www.dov.vlaanderen.be/data/sondering/2008-077592\n",
      "https://www.dov.vlaanderen.be/data/sondering/2009-000053\n",
      "https://www.dov.vlaanderen.be/data/sondering/2008-077566\n",
      "https://www.dov.vlaanderen.be/data/sondering/2008-077579\n",
      "https://www.dov.vlaanderen.be/data/sondering/2008-077545\n",
      "https://www.dov.vlaanderen.be/data/sondering/2015-054999\n",
      "https://www.dov.vlaanderen.be/data/sondering/2009-000052\n",
      "https://www.dov.vlaanderen.be/data/sondering/2008-077577\n",
      "https://www.dov.vlaanderen.be/data/sondering/2008-077565\n",
      "https://www.dov.vlaanderen.be/data/sondering/2007-049200\n",
      "https://www.dov.vlaanderen.be/data/sondering/2010-062407\n",
      "https://www.dov.vlaanderen.be/data/sondering/2008-077556\n",
      "https://www.dov.vlaanderen.be/data/sondering/2008-077564\n",
      "https://www.dov.vlaanderen.be/data/sondering/2008-077580\n",
      "https://www.dov.vlaanderen.be/data/sondering/2009-000054\n",
      "https://www.dov.vlaanderen.be/data/sondering/2015-055496\n",
      "https://www.dov.vlaanderen.be/data/sondering/2008-077557\n",
      "https://www.dov.vlaanderen.be/data/sondering/2015-054995\n",
      "https://www.dov.vlaanderen.be/data/sondering/2008-077581\n",
      "https://www.dov.vlaanderen.be/data/sondering/2008-077591\n",
      "https://www.dov.vlaanderen.be/data/sondering/2007-049201\n"
     ]
    }
   ],
   "source": [
    "for pkey_sondering in set(df.pkey_sondering):\n",
    "    print(pkey_sondering)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Select CPT measurements in a municipality and return depth"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can limit the columns in the output dataframe by specifying the *return_fields* parameter in our search.\n",
    "\n",
    "In this example we query all the CPT measurements in the city of Ghent and return their depth:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[000/001] .\n"
     ]
    },
    {
     "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>diepte_sondering_tot</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>18.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   diepte_sondering_tot\n",
       "0                   2.7\n",
       "1                   1.4\n",
       "2                   7.6\n",
       "3                  11.5\n",
       "4                  18.6"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = PropertyIsEqualTo(propertyname='gemeente',\n",
    "                          literal='Gent')\n",
    "df = sondering.search(query=query,\n",
    "                      return_fields=('diepte_sondering_tot',))\n",
    "df.head()"
   ]
  },
  {
   "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>diepte_sondering_tot</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3798.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>18.741095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.455745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.660000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>11.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>19.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>24.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>52.600000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       diepte_sondering_tot\n",
       "count           3798.000000\n",
       "mean              18.741095\n",
       "std                8.455745\n",
       "min                0.660000\n",
       "25%               11.700000\n",
       "50%               19.200000\n",
       "75%               24.800000\n",
       "max               52.600000"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'depth (m)')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.boxplot()\n",
    "ax.set_title('Distribution depth CPT measurements in Ghent');\n",
    "ax.set_ylabel(\"depth (m)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get CPT measurements based on fields not available in the standard output dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To keep the output dataframe size acceptable, not all available WFS fields are included in the standard output. However, one can use this information to select CPT measurements as illustrated below.\n",
    "\n",
    "For example, make a selection of the CPT measurements in municipality the of Antwerp, using a conustype 'U':"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[000/001] .\n"
     ]
    },
    {
     "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>pkey_sondering</th>\n",
       "      <th>sondeernummer</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>diepte_sondering_tot</th>\n",
       "      <th>datum_aanvang</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-93/023-SII-E</td>\n",
       "      <td>152740.0</td>\n",
       "      <td>215493.0</td>\n",
       "      <td>29.70</td>\n",
       "      <td>1993-03-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-02/111-S1</td>\n",
       "      <td>150347.3</td>\n",
       "      <td>214036.4</td>\n",
       "      <td>29.95</td>\n",
       "      <td>2002-12-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-04/123-SKD4-E</td>\n",
       "      <td>146437.7</td>\n",
       "      <td>222317.5</td>\n",
       "      <td>4.45</td>\n",
       "      <td>2004-07-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-04/123-SKD6-E</td>\n",
       "      <td>146523.9</td>\n",
       "      <td>222379.7</td>\n",
       "      <td>7.40</td>\n",
       "      <td>2004-07-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-04/123-SKD5-E</td>\n",
       "      <td>146493.4</td>\n",
       "      <td>222298.8</td>\n",
       "      <td>1.65</td>\n",
       "      <td>2004-07-16</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      pkey_sondering      sondeernummer  \\\n",
       "0  https://www.dov.vlaanderen.be/data/sondering/1...   GEO-93/023-SII-E   \n",
       "1  https://www.dov.vlaanderen.be/data/sondering/2...      GEO-02/111-S1   \n",
       "2  https://www.dov.vlaanderen.be/data/sondering/2...  GEO-04/123-SKD4-E   \n",
       "3  https://www.dov.vlaanderen.be/data/sondering/2...  GEO-04/123-SKD6-E   \n",
       "4  https://www.dov.vlaanderen.be/data/sondering/2...  GEO-04/123-SKD5-E   \n",
       "\n",
       "          x         y  diepte_sondering_tot datum_aanvang  \n",
       "0  152740.0  215493.0                 29.70    1993-03-02  \n",
       "1  150347.3  214036.4                 29.95    2002-12-17  \n",
       "2  146437.7  222317.5                  4.45    2004-07-12  \n",
       "3  146523.9  222379.7                  7.40    2004-07-14  \n",
       "4  146493.4  222298.8                  1.65    2004-07-16  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from owslib.fes2 import And\n",
    "\n",
    "query = And([PropertyIsEqualTo(propertyname='gemeente',\n",
    "                               literal='Antwerpen'),\n",
    "             PropertyIsEqualTo(propertyname='conus', \n",
    "                               literal='U')]\n",
    "            )\n",
    "df = sondering.search(query=query,\n",
    "                      return_fields=('pkey_sondering', 'sondeernummer', 'x', 'y', 'diepte_sondering_tot', 'datum_aanvang'))\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get CPT data, returning fields not available in the standard output dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As denoted in the previous example, not all available fields are available in the default output frame to keep its size limited. However, you can request any available field by including it in the *return_fields* parameter of the search:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[000/001] .\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "        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>pkey_sondering</th>\n",
       "      <th>sondeernummer</th>\n",
       "      <th>diepte_sondering_tot</th>\n",
       "      <th>conus</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SV</td>\n",
       "      <td>33.80</td>\n",
       "      <td>U</td>\n",
       "      <td>110241.6</td>\n",
       "      <td>204692.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SI</td>\n",
       "      <td>15.65</td>\n",
       "      <td>U</td>\n",
       "      <td>110062.5</td>\n",
       "      <td>205051.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SII</td>\n",
       "      <td>26.50</td>\n",
       "      <td>U</td>\n",
       "      <td>110107.0</td>\n",
       "      <td>204965.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SIII</td>\n",
       "      <td>16.50</td>\n",
       "      <td>U</td>\n",
       "      <td>110152.4</td>\n",
       "      <td>204876.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SIV</td>\n",
       "      <td>16.70</td>\n",
       "      <td>U</td>\n",
       "      <td>110197.8</td>\n",
       "      <td>204787.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      pkey_sondering    sondeernummer  \\\n",
       "0  https://www.dov.vlaanderen.be/data/sondering/1...    GEO-94/020-SV   \n",
       "1  https://www.dov.vlaanderen.be/data/sondering/1...    GEO-94/020-SI   \n",
       "2  https://www.dov.vlaanderen.be/data/sondering/1...   GEO-94/020-SII   \n",
       "3  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-94/020-SIII   \n",
       "4  https://www.dov.vlaanderen.be/data/sondering/1...   GEO-94/020-SIV   \n",
       "\n",
       "   diepte_sondering_tot conus         x         y  \n",
       "0                 33.80     U  110241.6  204692.2  \n",
       "1                 15.65     U  110062.5  205051.4  \n",
       "2                 26.50     U  110107.0  204965.3  \n",
       "3                 16.50     U  110152.4  204876.1  \n",
       "4                 16.70     U  110197.8  204787.0  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = And([PropertyIsEqualTo(propertyname='gemeente', literal='Gent'),\n",
    "             PropertyIsEqualTo(propertyname='conus', literal='U')])\n",
    "\n",
    "df = sondering.search(query=query,\n",
    "                      return_fields=('pkey_sondering', 'sondeernummer', 'diepte_sondering_tot',\n",
    "                                     'conus', 'x', 'y'))\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pkey_sondering</th>\n",
       "      <th>sondeernummer</th>\n",
       "      <th>diepte_sondering_tot</th>\n",
       "      <th>conus</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SV</td>\n",
       "      <td>33.80</td>\n",
       "      <td>U</td>\n",
       "      <td>110241.60</td>\n",
       "      <td>204692.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SI</td>\n",
       "      <td>15.65</td>\n",
       "      <td>U</td>\n",
       "      <td>110062.50</td>\n",
       "      <td>205051.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SII</td>\n",
       "      <td>26.50</td>\n",
       "      <td>U</td>\n",
       "      <td>110107.00</td>\n",
       "      <td>204965.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SIII</td>\n",
       "      <td>16.50</td>\n",
       "      <td>U</td>\n",
       "      <td>110152.40</td>\n",
       "      <td>204876.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SIV</td>\n",
       "      <td>16.70</td>\n",
       "      <td>U</td>\n",
       "      <td>110197.80</td>\n",
       "      <td>204787.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SIX</td>\n",
       "      <td>27.60</td>\n",
       "      <td>U</td>\n",
       "      <td>110479.50</td>\n",
       "      <td>205240.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SVI</td>\n",
       "      <td>16.80</td>\n",
       "      <td>U</td>\n",
       "      <td>110288.50</td>\n",
       "      <td>204608.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SVII</td>\n",
       "      <td>26.70</td>\n",
       "      <td>U</td>\n",
       "      <td>110334.30</td>\n",
       "      <td>204519.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SX</td>\n",
       "      <td>27.50</td>\n",
       "      <td>U</td>\n",
       "      <td>110685.00</td>\n",
       "      <td>204845.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SXI</td>\n",
       "      <td>25.60</td>\n",
       "      <td>U</td>\n",
       "      <td>109941.50</td>\n",
       "      <td>204346.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/020-SXII</td>\n",
       "      <td>26.50</td>\n",
       "      <td>U</td>\n",
       "      <td>110412.20</td>\n",
       "      <td>204398.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/096-SIX(CPT9)</td>\n",
       "      <td>17.60</td>\n",
       "      <td>U</td>\n",
       "      <td>105018.00</td>\n",
       "      <td>190472.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/096-SVII(CPT7)</td>\n",
       "      <td>26.05</td>\n",
       "      <td>U</td>\n",
       "      <td>105046.00</td>\n",
       "      <td>190550.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-94/096-SVIII(CPT8)</td>\n",
       "      <td>24.75</td>\n",
       "      <td>U</td>\n",
       "      <td>104997.00</td>\n",
       "      <td>190521.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-97/002-S2</td>\n",
       "      <td>29.90</td>\n",
       "      <td>U</td>\n",
       "      <td>105376.60</td>\n",
       "      <td>189104.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-97/002-S3</td>\n",
       "      <td>5.90</td>\n",
       "      <td>U</td>\n",
       "      <td>105391.30</td>\n",
       "      <td>189083.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-97/002-S1</td>\n",
       "      <td>30.60</td>\n",
       "      <td>U</td>\n",
       "      <td>105399.30</td>\n",
       "      <td>189065.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-23/042-S1_U</td>\n",
       "      <td>22.98</td>\n",
       "      <td>U</td>\n",
       "      <td>108697.19</td>\n",
       "      <td>203441.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-23/042-S2_U</td>\n",
       "      <td>22.98</td>\n",
       "      <td>U</td>\n",
       "      <td>108709.48</td>\n",
       "      <td>203436.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-23/042-S2</td>\n",
       "      <td>22.98</td>\n",
       "      <td>U</td>\n",
       "      <td>108709.48</td>\n",
       "      <td>203436.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-23/042-S1</td>\n",
       "      <td>22.98</td>\n",
       "      <td>U</td>\n",
       "      <td>108697.19</td>\n",
       "      <td>203441.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-23/042-S3_U</td>\n",
       "      <td>22.98</td>\n",
       "      <td>U</td>\n",
       "      <td>108734.23</td>\n",
       "      <td>203429.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-23/042-S3</td>\n",
       "      <td>22.98</td>\n",
       "      <td>U</td>\n",
       "      <td>108734.23</td>\n",
       "      <td>203429.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-23/042-S4_U</td>\n",
       "      <td>22.98</td>\n",
       "      <td>U</td>\n",
       "      <td>108747.25</td>\n",
       "      <td>203424.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-23/042-S4</td>\n",
       "      <td>22.98</td>\n",
       "      <td>U</td>\n",
       "      <td>108747.25</td>\n",
       "      <td>203424.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-01/162-S1</td>\n",
       "      <td>18.05</td>\n",
       "      <td>U</td>\n",
       "      <td>106104.10</td>\n",
       "      <td>188699.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-01/162-S2</td>\n",
       "      <td>17.30</td>\n",
       "      <td>U</td>\n",
       "      <td>106045.30</td>\n",
       "      <td>188708.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-01/162-S3</td>\n",
       "      <td>18.70</td>\n",
       "      <td>U</td>\n",
       "      <td>106100.50</td>\n",
       "      <td>188743.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-01/162-S5</td>\n",
       "      <td>17.30</td>\n",
       "      <td>U</td>\n",
       "      <td>106130.00</td>\n",
       "      <td>188712.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/2...</td>\n",
       "      <td>GEO-01/162-S4</td>\n",
       "      <td>17.00</td>\n",
       "      <td>U</td>\n",
       "      <td>106077.50</td>\n",
       "      <td>188686.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       pkey_sondering           sondeernummer  \\\n",
       "0   https://www.dov.vlaanderen.be/data/sondering/1...           GEO-94/020-SV   \n",
       "1   https://www.dov.vlaanderen.be/data/sondering/1...           GEO-94/020-SI   \n",
       "2   https://www.dov.vlaanderen.be/data/sondering/1...          GEO-94/020-SII   \n",
       "3   https://www.dov.vlaanderen.be/data/sondering/1...         GEO-94/020-SIII   \n",
       "4   https://www.dov.vlaanderen.be/data/sondering/1...          GEO-94/020-SIV   \n",
       "5   https://www.dov.vlaanderen.be/data/sondering/1...          GEO-94/020-SIX   \n",
       "6   https://www.dov.vlaanderen.be/data/sondering/1...          GEO-94/020-SVI   \n",
       "7   https://www.dov.vlaanderen.be/data/sondering/1...         GEO-94/020-SVII   \n",
       "8   https://www.dov.vlaanderen.be/data/sondering/1...           GEO-94/020-SX   \n",
       "9   https://www.dov.vlaanderen.be/data/sondering/1...          GEO-94/020-SXI   \n",
       "10  https://www.dov.vlaanderen.be/data/sondering/1...         GEO-94/020-SXII   \n",
       "11  https://www.dov.vlaanderen.be/data/sondering/1...    GEO-94/096-SIX(CPT9)   \n",
       "12  https://www.dov.vlaanderen.be/data/sondering/1...   GEO-94/096-SVII(CPT7)   \n",
       "13  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-94/096-SVIII(CPT8)   \n",
       "14  https://www.dov.vlaanderen.be/data/sondering/1...           GEO-97/002-S2   \n",
       "15  https://www.dov.vlaanderen.be/data/sondering/1...           GEO-97/002-S3   \n",
       "16  https://www.dov.vlaanderen.be/data/sondering/1...           GEO-97/002-S1   \n",
       "17  https://www.dov.vlaanderen.be/data/sondering/2...         GEO-23/042-S1_U   \n",
       "18  https://www.dov.vlaanderen.be/data/sondering/2...         GEO-23/042-S2_U   \n",
       "19  https://www.dov.vlaanderen.be/data/sondering/2...           GEO-23/042-S2   \n",
       "20  https://www.dov.vlaanderen.be/data/sondering/2...           GEO-23/042-S1   \n",
       "21  https://www.dov.vlaanderen.be/data/sondering/2...         GEO-23/042-S3_U   \n",
       "22  https://www.dov.vlaanderen.be/data/sondering/2...           GEO-23/042-S3   \n",
       "23  https://www.dov.vlaanderen.be/data/sondering/2...         GEO-23/042-S4_U   \n",
       "24  https://www.dov.vlaanderen.be/data/sondering/2...           GEO-23/042-S4   \n",
       "25  https://www.dov.vlaanderen.be/data/sondering/2...           GEO-01/162-S1   \n",
       "26  https://www.dov.vlaanderen.be/data/sondering/2...           GEO-01/162-S2   \n",
       "27  https://www.dov.vlaanderen.be/data/sondering/2...           GEO-01/162-S3   \n",
       "28  https://www.dov.vlaanderen.be/data/sondering/2...           GEO-01/162-S5   \n",
       "29  https://www.dov.vlaanderen.be/data/sondering/2...           GEO-01/162-S4   \n",
       "\n",
       "    diepte_sondering_tot conus          x          y  \n",
       "0                  33.80     U  110241.60  204692.20  \n",
       "1                  15.65     U  110062.50  205051.40  \n",
       "2                  26.50     U  110107.00  204965.30  \n",
       "3                  16.50     U  110152.40  204876.10  \n",
       "4                  16.70     U  110197.80  204787.00  \n",
       "5                  27.60     U  110479.50  205240.70  \n",
       "6                  16.80     U  110288.50  204608.80  \n",
       "7                  26.70     U  110334.30  204519.80  \n",
       "8                  27.50     U  110685.00  204845.50  \n",
       "9                  25.60     U  109941.50  204346.90  \n",
       "10                 26.50     U  110412.20  204398.10  \n",
       "11                 17.60     U  105018.00  190472.00  \n",
       "12                 26.05     U  105046.00  190550.00  \n",
       "13                 24.75     U  104997.00  190521.00  \n",
       "14                 29.90     U  105376.60  189104.30  \n",
       "15                  5.90     U  105391.30  189083.70  \n",
       "16                 30.60     U  105399.30  189065.20  \n",
       "17                 22.98     U  108697.19  203441.72  \n",
       "18                 22.98     U  108709.48  203436.67  \n",
       "19                 22.98     U  108709.48  203436.67  \n",
       "20                 22.98     U  108697.19  203441.72  \n",
       "21                 22.98     U  108734.23  203429.66  \n",
       "22                 22.98     U  108734.23  203429.66  \n",
       "23                 22.98     U  108747.25  203424.10  \n",
       "24                 22.98     U  108747.25  203424.10  \n",
       "25                 18.05     U  106104.10  188699.40  \n",
       "26                 17.30     U  106045.30  188708.40  \n",
       "27                 18.70     U  106100.50  188743.80  \n",
       "28                 17.30     U  106130.00  188712.00  \n",
       "29                 17.00     U  106077.50  188686.00  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Resistivity plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data for the reporting of resistivity plots with the online application, see for example [this report](https://www.dov.vlaanderen.be/zoeken-ocdov/proxy-sondering/sondering/1993-001275/rapport/identifygrafiek?outputformaat=PDF), is also accessible with the pydov package. Querying the data for this specific _sondering_:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[000/001] .\n",
      "[000/001] .\n"
     ]
    },
    {
     "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>pkey_sondering</th>\n",
       "      <th>sondeernummer</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>mv_mtaw</th>\n",
       "      <th>start_sondering_mtaw</th>\n",
       "      <th>diepte_sondering_van</th>\n",
       "      <th>diepte_sondering_tot</th>\n",
       "      <th>datum_aanvang</th>\n",
       "      <th>uitvoerder</th>\n",
       "      <th>...</th>\n",
       "      <th>apparaat</th>\n",
       "      <th>datum_gw_meting</th>\n",
       "      <th>diepte_gw_m</th>\n",
       "      <th>lengte</th>\n",
       "      <th>diepte</th>\n",
       "      <th>qc</th>\n",
       "      <th>Qt</th>\n",
       "      <th>fs</th>\n",
       "      <th>u</th>\n",
       "      <th>i</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-93/023-SII-E</td>\n",
       "      <td>152740.0</td>\n",
       "      <td>215493.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.7</td>\n",
       "      <td>1993-03-02</td>\n",
       "      <td>MVG - Afdeling Geotechniek</td>\n",
       "      <td>...</td>\n",
       "      <td>200 kN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>130.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-93/023-SII-E</td>\n",
       "      <td>152740.0</td>\n",
       "      <td>215493.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.7</td>\n",
       "      <td>1993-03-02</td>\n",
       "      <td>MVG - Afdeling Geotechniek</td>\n",
       "      <td>...</td>\n",
       "      <td>200 kN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-93/023-SII-E</td>\n",
       "      <td>152740.0</td>\n",
       "      <td>215493.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.7</td>\n",
       "      <td>1993-03-02</td>\n",
       "      <td>MVG - Afdeling Geotechniek</td>\n",
       "      <td>...</td>\n",
       "      <td>200 kN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120.0</td>\n",
       "      <td>-4.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-93/023-SII-E</td>\n",
       "      <td>152740.0</td>\n",
       "      <td>215493.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.7</td>\n",
       "      <td>1993-03-02</td>\n",
       "      <td>MVG - Afdeling Geotechniek</td>\n",
       "      <td>...</td>\n",
       "      <td>200 kN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.92</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120.0</td>\n",
       "      <td>-48.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://www.dov.vlaanderen.be/data/sondering/1...</td>\n",
       "      <td>GEO-93/023-SII-E</td>\n",
       "      <td>152740.0</td>\n",
       "      <td>215493.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29.7</td>\n",
       "      <td>1993-03-02</td>\n",
       "      <td>MVG - Afdeling Geotechniek</td>\n",
       "      <td>...</td>\n",
       "      <td>200 kN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>-35.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      pkey_sondering     sondeernummer  \\\n",
       "0  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-93/023-SII-E   \n",
       "1  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-93/023-SII-E   \n",
       "2  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-93/023-SII-E   \n",
       "3  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-93/023-SII-E   \n",
       "4  https://www.dov.vlaanderen.be/data/sondering/1...  GEO-93/023-SII-E   \n",
       "\n",
       "          x         y  mv_mtaw  start_sondering_mtaw  diepte_sondering_van  \\\n",
       "0  152740.0  215493.0      NaN                  6.25                   0.0   \n",
       "1  152740.0  215493.0      NaN                  6.25                   0.0   \n",
       "2  152740.0  215493.0      NaN                  6.25                   0.0   \n",
       "3  152740.0  215493.0      NaN                  6.25                   0.0   \n",
       "4  152740.0  215493.0      NaN                  6.25                   0.0   \n",
       "\n",
       "   diepte_sondering_tot datum_aanvang                  uitvoerder  ...  \\\n",
       "0                  29.7    1993-03-02  MVG - Afdeling Geotechniek  ...   \n",
       "1                  29.7    1993-03-02  MVG - Afdeling Geotechniek  ...   \n",
       "2                  29.7    1993-03-02  MVG - Afdeling Geotechniek  ...   \n",
       "3                  29.7    1993-03-02  MVG - Afdeling Geotechniek  ...   \n",
       "4                  29.7    1993-03-02  MVG - Afdeling Geotechniek  ...   \n",
       "\n",
       "  apparaat datum_gw_meting  diepte_gw_m  lengte  diepte     qc  Qt     fs  \\\n",
       "0   200 kN             NaN          NaN     0.6     NaN  11.60 NaN  130.0   \n",
       "1   200 kN             NaN          NaN     0.7     NaN   6.30 NaN  100.0   \n",
       "2   200 kN             NaN          NaN     0.8     NaN   6.22 NaN  120.0   \n",
       "3   200 kN             NaN          NaN     0.9     NaN   4.92 NaN  120.0   \n",
       "4   200 kN             NaN          NaN     1.0     NaN   4.40 NaN   80.0   \n",
       "\n",
       "      u   i  \n",
       "0  69.0 NaN  \n",
       "1  29.0 NaN  \n",
       "2  -4.0 NaN  \n",
       "3 -48.0 NaN  \n",
       "4 -35.0 NaN  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "query = PropertyIsEqualTo(propertyname='pkey_sondering',\n",
    "                          literal='https://www.dov.vlaanderen.be/data/sondering/1993-001275')\n",
    "df_sond = sondering.search(query=query)\n",
    "\n",
    "df_sond.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have the depth (`length`) available, together with the measured values for each depth of the variables (in dutch):\n",
    "\n",
    "* `qc`: Opgemeten waarde van de conusweerstand, uitgedrukt in MPa.\n",
    "* `Qt`: Opgemeten waarde van de totale weerstand, uitgedrukt in kN.\n",
    "* `fs`: Opgemeten waarde van de plaatelijke kleefweerstand uitgedrukt in kPa.\n",
    "* `u`: Opgemeten waarde van de porienwaterspanning, uitgedrukt in kPa.\n",
    "* `i`: Opgemeten waarde van de inclinatie, uitgedrukt in graden."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To recreate the resistivity plot, we also need the `resistivity number` (wrijvingsgetal `rf`), see [DOV documentation](https://www.dov.vlaanderen.be/page/sonderingen).\n",
    "\n",
    "\\begin{equation}\n",
    "R_f = \\frac{f_s}{q_c}\n",
    "\\end{equation}\n",
    "\n",
    "**Notice:** $f_s$ is provide in kPa and $q_c$ in MPa."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adding `rf` to the dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_sond[\"rf\"] = df_sond[\"fs\"]/df_sond[\"qc\"]/10  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Recreate the resistivity plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_patch_spines_invisible(ax):\n",
    "    ax.set_frame_on(True)\n",
    "    ax.patch.set_visible(False)\n",
    "    for sp in ax.spines.values():\n",
    "        sp.set_visible(False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Determine Lengte or Depth\n",
    "# If diepte is available, the y-axis will be Diepte\n",
    "# Else the y-axis will be Lengte\n",
    "if df_sond['diepte'].isnull().values.any():\n",
    "    # IsNan\n",
    "    y_type = \"lengte\"\n",
    "    y_axis = \"Length (m)\"\n",
    "else:\n",
    "    y_type = \"diepte\"\n",
    "    y_axis = \"Depth (m)\"\n",
    "\n",
    "\n",
    "fig, ax0 = plt.subplots(figsize=(8, 12))\n",
    "\n",
    "# Prepare the individual axis\n",
    "ax_qc = ax0.twiny()\n",
    "ax_fs = ax0.twiny()\n",
    "ax_u = ax0.twiny()\n",
    "ax_rf = ax0.twiny()\n",
    "\n",
    "for i, ax in enumerate([ax_qc, ax_fs, ax_u]):\n",
    "    ax.spines[\"top\"].set_position((\"axes\", 1+0.05*(i+1)))\n",
    "    make_patch_spines_invisible(ax)\n",
    "    ax.spines[\"top\"].set_visible(True)\n",
    "\n",
    "# Plot the data on the axis\n",
    "df_sond.plot(x=\"rf\", y=y_type, label=\"rf\", ax=ax_rf, color='purple', legend=False)\n",
    "df_sond.plot(x=\"qc\", y=y_type, label=\"qc (MPa)\", ax=ax_qc, color='black', legend=False)\n",
    "df_sond.plot(x=\"fs\", y=y_type, label=\"fs (kPa)\", ax=ax_fs, color='green', legend=False)\n",
    "df_sond.plot(x=\"u\", y=y_type, label=\"u (kPa)\", ax=ax_u, color='red', \n",
    "        legend=False, xlim=(-100, 300)) # ! 300 is hardocded here for the example\n",
    "\n",
    "# styling and configuration\n",
    "ax_rf.xaxis.label.set_color('purple')\n",
    "ax_fs.xaxis.label.set_color('green')\n",
    "ax_u.xaxis.label.set_color('red')\n",
    "\n",
    "ax0.axes.set_visible(False)\n",
    "ax_qc.axes.yaxis.set_visible(False)\n",
    "ax_fs.axes.yaxis.set_visible(False)\n",
    "for i, ax in enumerate([ax_rf, ax_qc, ax_fs, ax_u, ax0]):\n",
    "    ax.spines[\"right\"].set_visible(False)\n",
    "    ax.spines[\"bottom\"].set_visible(False)\n",
    "    ax.xaxis.label.set_fontsize(15)\n",
    "    ax.xaxis.set_label_coords(-0.05, 1+0.05*i)\n",
    "    ax.spines['left'].set_position(('outward', 10))\n",
    "    ax.spines['left'].set_bounds(0, 30)\n",
    "ax_rf.set_xlim(0, 46)\n",
    "\n",
    "ax_u.set_title(\"Resistivity plot CPT measurement GEO-93/023-SII-E\", fontsize=12)\n",
    "\n",
    "ax0.invert_yaxis()\n",
    "ax_rf.invert_xaxis()\n",
    "ax_u.set_ylabel(y_axis, fontsize=12)\n",
    "fig.legend(loc='lower center', ncol=4)\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize locations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using Folium, we can display the results of our search on a map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import the necessary modules (not included in the requirements of pydov!)\n",
    "import folium\n",
    "from folium.plugins import MarkerCluster\n",
    "from pyproj import Transformer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# convert the coordinates to lat/lon for folium\n",
    "def convert_latlon(x1, y1):\n",
    "    transformer = Transformer.from_crs(\"epsg:31370\", \"epsg:4326\", always_xy=True)\n",
    "    x2,y2 = transformer.transform(x1, y1)\n",
    "    return x2, y2\n",
    "\n",
    "df['lon'], df['lat'] = zip(*map(convert_latlon, df['x'], df['y'])) \n",
    "# convert to list\n",
    "loclist = df[['lat', 'lon']].values.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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 srcdoc=\"&lt;!DOCTYPE html&gt;\n",
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       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n",
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       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
       "            &lt;style&gt;\n",
       "                #map_95e198ad0820349cbe9163b3e11e318f {\n",
       "                    position: relative;\n",
       "                    width: 100.0%;\n",
       "                    height: 100.0%;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "                .leaflet-container { font-size: 1rem; }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/leaflet.markercluster.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/1.1.0/MarkerCluster.Default.css&quot;/&gt;\n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;\n",
       "    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_95e198ad0820349cbe9163b3e11e318f&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;\n",
       "    \n",
       "    \n",
       "            var map_95e198ad0820349cbe9163b3e11e318f = L.map(\n",
       "                &quot;map_95e198ad0820349cbe9163b3e11e318f&quot;,\n",
       "                {\n",
       "                    center: [51.09722846282038, 3.771296086494218],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 11,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_42fa89a96c0fb40100363a061a3c0ef7 = L.tileLayer(\n",
       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_95e198ad0820349cbe9163b3e11e318f);\n",
       "        \n",
       "    \n",
       "            var marker_cluster_32e5e54e596099fa0281acee22a408ef = L.markerClusterGroup(\n",
       "                {}\n",
       "            );\n",
       "            map_95e198ad0820349cbe9163b3e11e318f.addLayer(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "            var marker_ff0c158ddc449dc5e408f9e29895c677 = L.marker(\n",
       "                [51.15089874341588, 3.8005311274253573],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_ffdb5504b3cd0dc15b64496454056b43 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_88b51f4e61d2d9cd45a1861f716ce974 = $(`&lt;div id=&quot;html_88b51f4e61d2d9cd45a1861f716ce974&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-94/020-SV&lt;/div&gt;`)[0];\n",
       "                popup_ffdb5504b3cd0dc15b64496454056b43.setContent(html_88b51f4e61d2d9cd45a1861f716ce974);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_ff0c158ddc449dc5e408f9e29895c677.bindPopup(popup_ffdb5504b3cd0dc15b64496454056b43)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_5ce5a8a5fb1bf4592f663f8c2fac8ee4 = L.marker(\n",
       "                [51.15411502870926, 3.7979321198115854],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_7c254b4242201f1e2a13e1b1eec2403f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_9414335b964d4be77a1225070af19e97 = $(`&lt;div id=&quot;html_9414335b964d4be77a1225070af19e97&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-94/020-SI&lt;/div&gt;`)[0];\n",
       "                popup_7c254b4242201f1e2a13e1b1eec2403f.setContent(html_9414335b964d4be77a1225070af19e97);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_5ce5a8a5fb1bf4592f663f8c2fac8ee4.bindPopup(popup_7c254b4242201f1e2a13e1b1eec2403f)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_a3868520e8fb64d11194f9bba73480d5 = L.marker(\n",
       "                [51.15334420106198, 3.798577569354799],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_73740e84779c1e8d9c2977faf2045629 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_c744da2ce9a8e741feeca13444a0dae9 = $(`&lt;div id=&quot;html_c744da2ce9a8e741feeca13444a0dae9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-94/020-SII&lt;/div&gt;`)[0];\n",
       "                popup_73740e84779c1e8d9c2977faf2045629.setContent(html_c744da2ce9a8e741feeca13444a0dae9);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_a3868520e8fb64d11194f9bba73480d5.bindPopup(popup_73740e84779c1e8d9c2977faf2045629)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_77122ce94e540c4ef046e7dbc48fe5ac = L.marker(\n",
       "                [51.15254556773168, 3.799236199731788],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_824e41c495ddf0e579a6dc0539eb3985 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_2231dee9175dea11937718330489d571 = $(`&lt;div id=&quot;html_2231dee9175dea11937718330489d571&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-94/020-SIII&lt;/div&gt;`)[0];\n",
       "                popup_824e41c495ddf0e579a6dc0539eb3985.setContent(html_2231dee9175dea11937718330489d571);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_77122ce94e540c4ef046e7dbc48fe5ac.bindPopup(popup_824e41c495ddf0e579a6dc0539eb3985)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_4c6a23f76483c4a24376ff9b1ec048c1 = L.marker(\n",
       "                [51.15174782932677, 3.799894796645159],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_06911c531b66c91ce368f6018de2a487 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_313ac424fb8d32578bd7d96e824c9e54 = $(`&lt;div id=&quot;html_313ac424fb8d32578bd7d96e824c9e54&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-94/020-SIV&lt;/div&gt;`)[0];\n",
       "                popup_06911c531b66c91ce368f6018de2a487.setContent(html_313ac424fb8d32578bd7d96e824c9e54);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_4c6a23f76483c4a24376ff9b1ec048c1.bindPopup(popup_06911c531b66c91ce368f6018de2a487)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_deb103ae87adc2da24ec2f89bdbf3fe0 = L.marker(\n",
       "                [51.15584515359208, 3.8038714912553897],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_a19bd65c8b253abafec6e353d488ea20 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_e1f319a871ecdb34f0f813c9cfc12ff4 = $(`&lt;div id=&quot;html_e1f319a871ecdb34f0f813c9cfc12ff4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-94/020-SIX&lt;/div&gt;`)[0];\n",
       "                popup_a19bd65c8b253abafec6e353d488ea20.setContent(html_e1f319a871ecdb34f0f813c9cfc12ff4);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_deb103ae87adc2da24ec2f89bdbf3fe0.bindPopup(popup_a19bd65c8b253abafec6e353d488ea20)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_52a00a6ab4e9f6bd5c2d5c0d21e93d25 = L.marker(\n",
       "                [51.15015233392631, 3.801210493852503],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_d3a62747fb64465e9d999c028e1c512e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_67abdb2dcd13b75c49b3fa7e80763334 = $(`&lt;div id=&quot;html_67abdb2dcd13b75c49b3fa7e80763334&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-94/020-SVI&lt;/div&gt;`)[0];\n",
       "                popup_d3a62747fb64465e9d999c028e1c512e.setContent(html_67abdb2dcd13b75c49b3fa7e80763334);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_52a00a6ab4e9f6bd5c2d5c0d21e93d25.bindPopup(popup_d3a62747fb64465e9d999c028e1c512e)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_8861edd731e1d5cbdc3093d0dad4b5ff = L.marker(\n",
       "                [51.14935551005443, 3.801874728768363],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_61b97829ec1e99c7e21e99250efbb6fd = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_365a22d511a2317eeef81cc568d837fe = $(`&lt;div id=&quot;html_365a22d511a2317eeef81cc568d837fe&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-94/020-SVII&lt;/div&gt;`)[0];\n",
       "                popup_61b97829ec1e99c7e21e99250efbb6fd.setContent(html_365a22d511a2317eeef81cc568d837fe);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_8861edd731e1d5cbdc3093d0dad4b5ff.bindPopup(popup_61b97829ec1e99c7e21e99250efbb6fd)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_ad51d064c0bd0f11a3c02913ce16cc49 = L.marker(\n",
       "                [51.152306952658975, 3.806851382297043],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_29c6ad341ea34d8a031d8b9490f0b604 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_6502c0a924ab01a20b3c74bffe7cb449 = $(`&lt;div id=&quot;html_6502c0a924ab01a20b3c74bffe7cb449&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-94/020-SX&lt;/div&gt;`)[0];\n",
       "                popup_29c6ad341ea34d8a031d8b9490f0b604.setContent(html_6502c0a924ab01a20b3c74bffe7cb449);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_ad51d064c0bd0f11a3c02913ce16cc49.bindPopup(popup_29c6ad341ea34d8a031d8b9490f0b604)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_4463656e5e7c1119828075740bd9d1f8 = L.marker(\n",
       "                [51.14777436541305, 3.796280279532832],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_d15eaa8fd04b16f7082ea61bd777e0e0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_a5d1730272a6e28275ad72524412f3b3 = $(`&lt;div id=&quot;html_a5d1730272a6e28275ad72524412f3b3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-94/020-SXI&lt;/div&gt;`)[0];\n",
       "                popup_d15eaa8fd04b16f7082ea61bd777e0e0.setContent(html_a5d1730272a6e28275ad72524412f3b3);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_4463656e5e7c1119828075740bd9d1f8.bindPopup(popup_d15eaa8fd04b16f7082ea61bd777e0e0)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_19ad0aa59d980c3b4447ca04d0cc1dc8 = L.marker(\n",
       "                [51.148266959009796, 3.8030012286193142],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_b53c096ae12debfd94e3f2bc027e5220 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_fe4f04827f42d46f0a2bb293ae27b09b = $(`&lt;div id=&quot;html_fe4f04827f42d46f0a2bb293ae27b09b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-94/020-SXII&lt;/div&gt;`)[0];\n",
       "                popup_b53c096ae12debfd94e3f2bc027e5220.setContent(html_fe4f04827f42d46f0a2bb293ae27b09b);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_19ad0aa59d980c3b4447ca04d0cc1dc8.bindPopup(popup_b53c096ae12debfd94e3f2bc027e5220)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_1b845580b8b7c64459622bff54b6b856 = L.marker(\n",
       "                [51.02269802846392, 3.7276319966401754],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_cdff964e71f28c965ddcc0b5e31de1ef = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_a3c5c497095e26ff48ac8777389dc2ee = $(`&lt;div id=&quot;html_a3c5c497095e26ff48ac8777389dc2ee&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-94/096-SIX(CPT9)&lt;/div&gt;`)[0];\n",
       "                popup_cdff964e71f28c965ddcc0b5e31de1ef.setContent(html_a3c5c497095e26ff48ac8777389dc2ee);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_1b845580b8b7c64459622bff54b6b856.bindPopup(popup_cdff964e71f28c965ddcc0b5e31de1ef)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_59b9ddd0b41e8404e6bb5d3a357be272 = L.marker(\n",
       "                [51.023401316936294, 3.7280214747026457],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_ff0fe3b0873966925a55b555acc45e7a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_8d6d34efe5dda974c58fbd80ba96f71d = $(`&lt;div id=&quot;html_8d6d34efe5dda974c58fbd80ba96f71d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-94/096-SVII(CPT7)&lt;/div&gt;`)[0];\n",
       "                popup_ff0fe3b0873966925a55b555acc45e7a.setContent(html_8d6d34efe5dda974c58fbd80ba96f71d);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_59b9ddd0b41e8404e6bb5d3a357be272.bindPopup(popup_ff0fe3b0873966925a55b555acc45e7a)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_0fd973a2146360f0f7295cb5d1574777 = L.marker(\n",
       "                [51.02313684603474, 3.7273266746748575],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_db9c93d720ce08919a672103158ba072 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_b27f841d783ed20744b20fa3e1c0057c = $(`&lt;div id=&quot;html_b27f841d783ed20744b20fa3e1c0057c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-94/096-SVIII(CPT8)&lt;/div&gt;`)[0];\n",
       "                popup_db9c93d720ce08919a672103158ba072.setContent(html_b27f841d783ed20744b20fa3e1c0057c);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_0fd973a2146360f0f7295cb5d1574777.bindPopup(popup_db9c93d720ce08919a672103158ba072)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_cc76f8b95c6c49b1fec1d8aeb1356601 = L.marker(\n",
       "                [51.010431847258914, 3.732909573064079],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_358d1293ef7b3fd524ca979fe5621997 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_4b0a9f78b73e72d9002f49e75641c847 = $(`&lt;div id=&quot;html_4b0a9f78b73e72d9002f49e75641c847&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-97/002-S2&lt;/div&gt;`)[0];\n",
       "                popup_358d1293ef7b3fd524ca979fe5621997.setContent(html_4b0a9f78b73e72d9002f49e75641c847);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_cc76f8b95c6c49b1fec1d8aeb1356601.bindPopup(popup_358d1293ef7b3fd524ca979fe5621997)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_35e0a2d6be0a4180969c979d21498df0 = L.marker(\n",
       "                [51.01024780936067, 3.7331215352081037],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_4dde6415de34aae4ecb1ac59663023e0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_db5ef2c2fe6ce6d0ffc19a9b147e4850 = $(`&lt;div id=&quot;html_db5ef2c2fe6ce6d0ffc19a9b147e4850&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-97/002-S3&lt;/div&gt;`)[0];\n",
       "                popup_4dde6415de34aae4ecb1ac59663023e0.setContent(html_db5ef2c2fe6ce6d0ffc19a9b147e4850);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_35e0a2d6be0a4180969c979d21498df0.bindPopup(popup_4dde6415de34aae4ecb1ac59663023e0)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_9baf3d5c75d4f931ac94f90e7a561f25 = L.marker(\n",
       "                [51.01008213255243, 3.7332377760240982],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_d6be25feeeb9a23447f4a33f4cfdb94d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_7e43899b1da825d020915d5d8f93c48e = $(`&lt;div id=&quot;html_7e43899b1da825d020915d5d8f93c48e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-97/002-S1&lt;/div&gt;`)[0];\n",
       "                popup_d6be25feeeb9a23447f4a33f4cfdb94d.setContent(html_7e43899b1da825d020915d5d8f93c48e);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_9baf3d5c75d4f931ac94f90e7a561f25.bindPopup(popup_d6be25feeeb9a23447f4a33f4cfdb94d)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_b483d8e6f5d1e92a0d3686884803b9a1 = L.marker(\n",
       "                [51.139550808400635, 3.778601260438286],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_eb329b93d260d56b68e2416bbe6d81c1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_e333bcc82d5edccb58dbde20d1c1f963 = $(`&lt;div id=&quot;html_e333bcc82d5edccb58dbde20d1c1f963&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-23/042-S1_U&lt;/div&gt;`)[0];\n",
       "                popup_eb329b93d260d56b68e2416bbe6d81c1.setContent(html_e333bcc82d5edccb58dbde20d1c1f963);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_b483d8e6f5d1e92a0d3686884803b9a1.bindPopup(popup_eb329b93d260d56b68e2416bbe6d81c1)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_1b607595b2a2265b55aeb76a19c57c78 = L.marker(\n",
       "                [51.13950629392456, 3.7787774314133586],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_98e9494889ce426742f37b90a9c5561c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_d3c18a5688fc01025b3ba77589f854e3 = $(`&lt;div id=&quot;html_d3c18a5688fc01025b3ba77589f854e3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-23/042-S2_U&lt;/div&gt;`)[0];\n",
       "                popup_98e9494889ce426742f37b90a9c5561c.setContent(html_d3c18a5688fc01025b3ba77589f854e3);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_1b607595b2a2265b55aeb76a19c57c78.bindPopup(popup_98e9494889ce426742f37b90a9c5561c)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_5e14e7dfe173d2ed9d8fc202c5d32673 = L.marker(\n",
       "                [51.13950629392456, 3.7787774314133586],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_d31f6e713f98eb95819ae1dc381f0372 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_92a8ee128d355512ef9843736e9de622 = $(`&lt;div id=&quot;html_92a8ee128d355512ef9843736e9de622&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-23/042-S2&lt;/div&gt;`)[0];\n",
       "                popup_d31f6e713f98eb95819ae1dc381f0372.setContent(html_92a8ee128d355512ef9843736e9de622);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_5e14e7dfe173d2ed9d8fc202c5d32673.bindPopup(popup_d31f6e713f98eb95819ae1dc381f0372)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_fb65db70f73e2956189a19dd93aabd77 = L.marker(\n",
       "                [51.139550808400635, 3.778601260438286],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_bdebfaf2e310aa3b1b9e5d08e79d6d0a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_9c0e4a399594c62c90bd7395ff5afd86 = $(`&lt;div id=&quot;html_9c0e4a399594c62c90bd7395ff5afd86&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-23/042-S1&lt;/div&gt;`)[0];\n",
       "                popup_bdebfaf2e310aa3b1b9e5d08e79d6d0a.setContent(html_9c0e4a399594c62c90bd7395ff5afd86);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_fb65db70f73e2956189a19dd93aabd77.bindPopup(popup_bdebfaf2e310aa3b1b9e5d08e79d6d0a)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_024bb5149de4df50cfa8c086c7a0ad8a = L.marker(\n",
       "                [51.13944505040148, 3.7791318511131156],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_ff4b1f7a34c206284511da3f7f7998f2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_6d2540e92ef86f1d3be514f2b1105ec6 = $(`&lt;div id=&quot;html_6d2540e92ef86f1d3be514f2b1105ec6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-23/042-S3_U&lt;/div&gt;`)[0];\n",
       "                popup_ff4b1f7a34c206284511da3f7f7998f2.setContent(html_6d2540e92ef86f1d3be514f2b1105ec6);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_024bb5149de4df50cfa8c086c7a0ad8a.bindPopup(popup_ff4b1f7a34c206284511da3f7f7998f2)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_f960cb55a891e3a8dd8cd1f7925b191d = L.marker(\n",
       "                [51.13944505040148, 3.7791318511131156],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_9979d4c2327a785cfb4f9f9c589f3ab4 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_e61411eeaf0fa393152d1c8e90391478 = $(`&lt;div id=&quot;html_e61411eeaf0fa393152d1c8e90391478&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-23/042-S3&lt;/div&gt;`)[0];\n",
       "                popup_9979d4c2327a785cfb4f9f9c589f3ab4.setContent(html_e61411eeaf0fa393152d1c8e90391478);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_f960cb55a891e3a8dd8cd1f7925b191d.bindPopup(popup_9979d4c2327a785cfb4f9f9c589f3ab4)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_e7d016313806a87f8266f9a74a2bfd1d = L.marker(\n",
       "                [51.13939600308462, 3.779318509098278],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_0b3180af06ee4dca6a36577408c31e2f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_487d6425e4b0a38379e06cb219c6545d = $(`&lt;div id=&quot;html_487d6425e4b0a38379e06cb219c6545d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-23/042-S4_U&lt;/div&gt;`)[0];\n",
       "                popup_0b3180af06ee4dca6a36577408c31e2f.setContent(html_487d6425e4b0a38379e06cb219c6545d);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_e7d016313806a87f8266f9a74a2bfd1d.bindPopup(popup_0b3180af06ee4dca6a36577408c31e2f)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_11ac992dc3286514e57f42454f99560e = L.marker(\n",
       "                [51.13939600308462, 3.779318509098278],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_b6aea8ca192c1203aab84f7aea8e2703 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_aeaa83a6728aa33f3346cf0eb9269ab1 = $(`&lt;div id=&quot;html_aeaa83a6728aa33f3346cf0eb9269ab1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-23/042-S4&lt;/div&gt;`)[0];\n",
       "                popup_b6aea8ca192c1203aab84f7aea8e2703.setContent(html_aeaa83a6728aa33f3346cf0eb9269ab1);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_11ac992dc3286514e57f42454f99560e.bindPopup(popup_b6aea8ca192c1203aab84f7aea8e2703)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_97f6205139a97d1191f0b9dd46cdc847 = L.marker(\n",
       "                [51.00684778305372, 3.7433238715581463],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_b1125ef8251f3aa70c8da4ac0b257929 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_e9fc045b5cb44b3e1f91faf3bb17587d = $(`&lt;div id=&quot;html_e9fc045b5cb44b3e1f91faf3bb17587d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-01/162-S1&lt;/div&gt;`)[0];\n",
       "                popup_b1125ef8251f3aa70c8da4ac0b257929.setContent(html_e9fc045b5cb44b3e1f91faf3bb17587d);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_97f6205139a97d1191f0b9dd46cdc847.bindPopup(popup_b1125ef8251f3aa70c8da4ac0b257929)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_eab76399b50304544cd08c3190beb132 = L.marker(\n",
       "                [51.00692423178004, 3.742485045798909],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_a961f43ee5595fb4aa36c17b79e7f62f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_57d5010c18d41759cb76529791fb32ff = $(`&lt;div id=&quot;html_57d5010c18d41759cb76529791fb32ff&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-01/162-S2&lt;/div&gt;`)[0];\n",
       "                popup_a961f43ee5595fb4aa36c17b79e7f62f.setContent(html_57d5010c18d41759cb76529791fb32ff);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_eab76399b50304544cd08c3190beb132.bindPopup(popup_a961f43ee5595fb4aa36c17b79e7f62f)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_dc8fa6f515bb2ee031ff89b2b6ff79e8 = L.marker(\n",
       "                [51.00724661167389, 3.7432672579875566],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_e8e108343ad376741e17259f655d590d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_6e63904c1495484a0dd0f680c976fa96 = $(`&lt;div id=&quot;html_6e63904c1495484a0dd0f680c976fa96&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-01/162-S3&lt;/div&gt;`)[0];\n",
       "                popup_e8e108343ad376741e17259f655d590d.setContent(html_6e63904c1495484a0dd0f680c976fa96);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_dc8fa6f515bb2ee031ff89b2b6ff79e8.bindPopup(popup_e8e108343ad376741e17259f655d590d)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_0cc7323d4db9afbc74e45bd62bd1b17f = L.marker(\n",
       "                [51.00696299970145, 3.7436913689535656],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_0ed85267205b97b04c7c09a059b393f4 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_1cbadd82ab88777bb239d24f486f6ebe = $(`&lt;div id=&quot;html_1cbadd82ab88777bb239d24f486f6ebe&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-01/162-S5&lt;/div&gt;`)[0];\n",
       "                popup_0ed85267205b97b04c7c09a059b393f4.setContent(html_1cbadd82ab88777bb239d24f486f6ebe);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_0cc7323d4db9afbc74e45bd62bd1b17f.bindPopup(popup_0ed85267205b97b04c7c09a059b393f4)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_624d704790cc3910f826c0bbb534c799 = L.marker(\n",
       "                [51.00672532127286, 3.742946498794187],\n",
       "                {}\n",
       "            ).addTo(marker_cluster_32e5e54e596099fa0281acee22a408ef);\n",
       "        \n",
       "    \n",
       "        var popup_14fec8a0e1195c9d46d71dc25830568d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_509c925f5686ced12e111de9689bbb1a = $(`&lt;div id=&quot;html_509c925f5686ced12e111de9689bbb1a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;GEO-01/162-S4&lt;/div&gt;`)[0];\n",
       "                popup_14fec8a0e1195c9d46d71dc25830568d.setContent(html_509c925f5686ced12e111de9689bbb1a);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_624d704790cc3910f826c0bbb534c799.bindPopup(popup_14fec8a0e1195c9d46d71dc25830568d)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "&lt;/script&gt;\n",
       "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f8d7d30a4d0>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# initialize the Folium map on the centre of the selected locations, play with the zoom until ok\n",
    "fmap = folium.Map(location=[df['lat'].mean(), df['lon'].mean()], zoom_start=11)\n",
    "marker_cluster = MarkerCluster().add_to(fmap)\n",
    "for loc in range(0, len(loclist)):\n",
    "    folium.Marker(loclist[loc], popup=df['sondeernummer'][loc]).add_to(marker_cluster)\n",
    "fmap\n"
   ]
  }
 ],
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