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   "source": [
    "# Demo example: Using a Google Earth engine\n",
    "\n",
    "\n",
    "This example is the continuation of the previous example: [Using a Dataset](https://metobs-toolkit.readthedocs.io/en/move_to_rtd/examples/doc_example.html). This example serves as a demonstration on how to get meta-data from the Google Earth Engine (GEE). \n",
    "\n",
    "Before proceeding, make sure you have **set up a Google developers account and a GEE project**. See [Using Google Earth Engine](https://metobs-toolkit.readthedocs.io/en/move_to_rtd/topics/gee_authentication.html#using-google-earth-engine) for a detailed description of this."
   ]
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  {
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   "metadata": {},
   "source": [
    "## Create your Dataset\n",
    "\n",
    "Create a dataset with the demo data."
   ]
  },
  {
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   "id": "8ec045a4-be37-4c1b-bed4-df4dbf27dc51",
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   "source": [
    "import metobs_toolkit\n",
    "\n",
    "your_dataset = metobs_toolkit.Dataset()\n",
    "your_dataset.update_settings(\n",
    "    input_data_file=metobs_toolkit.demo_datafile, # path to the data file\n",
    "    input_metadata_file=metobs_toolkit.demo_metadatafile,\n",
    "    template_file=metobs_toolkit.demo_template,\n",
    ")\n",
    "\n",
    "your_dataset.import_data_from_file()"
   ]
  },
  {
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   "source": [
    "## Extracting LCZ from GEE\n",
    "\n",
    "Here is an example of how to extract the Local Climate Zone (LCZ) information of your stations. First, we take a look at what is present in the metadata of the dataset. "
   ]
  },
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>school</th>\n",
       "      <th>geometry</th>\n",
       "      <th>assumed_import_frequency</th>\n",
       "      <th>dataset_resolution</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th>vlinder01</th>\n",
       "      <td>50.980438</td>\n",
       "      <td>3.815763</td>\n",
       "      <td>UGent</td>\n",
       "      <td>POINT (3.81576 50.98044)</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "      <td>0 days 00:05:00</td>\n",
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       "      <th>vlinder02</th>\n",
       "      <td>51.022379</td>\n",
       "      <td>3.709695</td>\n",
       "      <td>UGent</td>\n",
       "      <td>POINT (3.7097 51.02238)</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "      <td>0 days 00:05:00</td>\n",
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       "    <tr>\n",
       "      <th>vlinder03</th>\n",
       "      <td>51.324583</td>\n",
       "      <td>4.952109</td>\n",
       "      <td>Heilig Graf</td>\n",
       "      <td>POINT (4.95211 51.32458)</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "      <td>0 days 00:05:00</td>\n",
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       "      <th>vlinder04</th>\n",
       "      <td>51.335522</td>\n",
       "      <td>4.934732</td>\n",
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       "      <td>POINT (4.93473 51.33552)</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "      <td>0 days 00:05:00</td>\n",
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       "    <tr>\n",
       "      <th>vlinder05</th>\n",
       "      <td>51.052655</td>\n",
       "      <td>3.675183</td>\n",
       "      <td>Sint-Barbara</td>\n",
       "      <td>POINT (3.67518 51.05266)</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "    </tr>\n",
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       "                 lat       lon        school                  geometry  \\\n",
       "name                                                                     \n",
       "vlinder01  50.980438  3.815763         UGent  POINT (3.81576 50.98044)   \n",
       "vlinder02  51.022379  3.709695         UGent   POINT (3.7097 51.02238)   \n",
       "vlinder03  51.324583  4.952109   Heilig Graf  POINT (4.95211 51.32458)   \n",
       "vlinder04  51.335522  4.934732   Heilig Graf  POINT (4.93473 51.33552)   \n",
       "vlinder05  51.052655  3.675183  Sint-Barbara  POINT (3.67518 51.05266)   \n",
       "\n",
       "          assumed_import_frequency dataset_resolution  \n",
       "name                                                   \n",
       "vlinder01          0 days 00:05:00    0 days 00:05:00  \n",
       "vlinder02          0 days 00:05:00    0 days 00:05:00  \n",
       "vlinder03          0 days 00:05:00    0 days 00:05:00  \n",
       "vlinder04          0 days 00:05:00    0 days 00:05:00  \n",
       "vlinder05          0 days 00:05:00    0 days 00:05:00  "
      ]
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     "execution_count": 2,
     "metadata": {},
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   "source": [
    "your_dataset.metadf.head()"
   ]
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   "source": [
    "To extract geospatial information for your stations, the **lat** and **lon** (latitude and longitude)\n",
    "of your stations must be present in the metadf. If so, than geospatial\n",
    "information will be extracted from GEE at these locations.\n",
    "\n",
    "To extract the Local Climate Zones (LCZs) of your stations:"
   ]
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   "cell_type": "code",
   "execution_count": 3,
   "id": "48431035-f130-44dc-9f35-5bfdd84fcff3",
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    {
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     "text": [
      "/home/thoverga/anaconda3/envs/metobs_dev/lib/python3.10/site-packages/ee/deprecation.py:204: DeprecationWarning: \n",
      "\n",
      "Attention required for RUB/RUBCLIM/LCZ/global_lcz_map/v1! You are using a deprecated asset.\n",
      "To ensure continued functionality, please update it.\n",
      "Learn more: https://developers.google.com/earth-engine/datasets/catalog/RUB_RUBCLIM_LCZ_global_lcz_map_v1\n",
      "\n",
      "  warnings.warn(warning, category=DeprecationWarning)\n"
     ]
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     "text": [
      "name\n",
      "vlinder01         Low plants (LCZ D)\n",
      "vlinder02               Open midrise\n",
      "vlinder03               Open midrise\n",
      "vlinder04             Sparsely built\n",
      "vlinder05              Water (LCZ G)\n",
      "vlinder06    Scattered Trees (LCZ B)\n",
      "vlinder07            Compact midrise\n",
      "vlinder08            Compact midrise\n",
      "vlinder09    Scattered Trees (LCZ B)\n",
      "vlinder10            Compact midrise\n",
      "vlinder11               Open lowrise\n",
      "vlinder12              Open highrise\n",
      "vlinder13            Compact midrise\n",
      "vlinder14         Low plants (LCZ D)\n",
      "vlinder15             Sparsely built\n",
      "vlinder16              Water (LCZ G)\n",
      "vlinder17    Scattered Trees (LCZ B)\n",
      "vlinder18         Low plants (LCZ D)\n",
      "vlinder19            Compact midrise\n",
      "vlinder20            Compact midrise\n",
      "vlinder21             Sparsely built\n",
      "vlinder22         Low plants (LCZ D)\n",
      "vlinder23         Low plants (LCZ D)\n",
      "vlinder24        Dense Trees (LCZ A)\n",
      "vlinder25              Water (LCZ G)\n",
      "vlinder26               Open midrise\n",
      "vlinder27            Compact midrise\n",
      "vlinder28               Open lowrise\n",
      "Name: lcz, dtype: object\n"
     ]
    }
   ],
   "source": [
    "lcz_values = your_dataset.get_lcz()\n",
    "# The LCZs for all your stations are extracted\n",
    "print(lcz_values)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35933b04-cd3f-4f5e-a557-596701a4125e",
   "metadata": {
    "tags": []
   },
   "source": [
    "The first time, in each session, you are asked to authenticated by Google.\n",
    "Select your Google account and billing project that you have set up and accept the terms of the condition.\n",
    "\n",
    "*NOTE: For small data-requests the read-only scopes are sufficient, for large data-requests this is insufficient because the data will be written directly to your Google Drive.*"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d055961-92bb-4f5e-b9e6-3ac26f2271ac",
   "metadata": {},
   "source": [
    "The metadata of your dataset is also updated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c90d4a3f-11f9-44e2-9e53-cc145569e984",
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      "name\n",
      "vlinder01    Low plants (LCZ D)\n",
      "vlinder02          Open midrise\n",
      "vlinder03          Open midrise\n",
      "vlinder04        Sparsely built\n",
      "vlinder05         Water (LCZ G)\n",
      "Name: lcz, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(your_dataset.metadf['lcz'].head())"
   ]
  },
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   "cell_type": "markdown",
   "id": "1c35c91a-2bc8-485c-92df-47ed68927667",
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   "source": [
    "To make a geospatial plot you can use the following method:"
   ]
  },
  {
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   "execution_count": 5,
   "id": "d5afd195-1aae-4254-a742-e917fb429d6a",
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       "<GeoAxes: title={'center': 'Local climate zones at 2022-09-01 00:00:00+00:00.'}>"
      ]
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",
      "text/plain": [
       "<Figure size 1000x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "your_dataset.make_geo_plot(variable=\"lcz\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "276baaf0-f20a-49ee-b2ac-ca9d2e6daf5e",
   "metadata": {},
   "source": [
    "## Extracting other Geospatial information\n",
    "\n",
    "Similar as LCZ extraction you can extract the altitude of the stations (from a digital elevation model):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bd5fb85d-dd74-4af4-98cd-67c9ac721a70",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "name\n",
      "vlinder01    12\n",
      "vlinder02     7\n",
      "vlinder03    30\n",
      "vlinder04    25\n",
      "vlinder05     0\n",
      "vlinder06     0\n",
      "vlinder07     7\n",
      "vlinder08     7\n",
      "vlinder09    19\n",
      "vlinder10    14\n",
      "vlinder11     6\n",
      "vlinder12     9\n",
      "vlinder13    10\n",
      "vlinder14     4\n",
      "vlinder15    41\n",
      "vlinder16     4\n",
      "vlinder17    83\n",
      "vlinder18    35\n",
      "vlinder19    75\n",
      "vlinder20    44\n",
      "vlinder21    19\n",
      "vlinder22     3\n",
      "vlinder23     1\n",
      "vlinder24    12\n",
      "vlinder25    12\n",
      "vlinder26    24\n",
      "vlinder27    12\n",
      "vlinder28     7\n",
      "Name: altitude, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "altitudes = your_dataset.get_altitude() #The altitudes are in meters above sea level.\n",
    "print(altitudes)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b6f3e83-1dff-4a0a-991a-aa258a484d8e",
   "metadata": {},
   "source": [
    "A more detailed description of the landcover/land use in the microenvironment can be extracted in the form of landcover fractions in a circular buffer for each station.\n",
    "\n",
    "You can select to aggregate the landcover classes to water - pervious and impervious, or set aggregation to false to extract the landcover classes as present in the worldcover_10m dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "66ddba0d-52c7-40f3-9c9c-4d6aa88c932b",
   "metadata": {},
   "outputs": [
    {
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     "text": [
      "                            water  pervious  impervious\n",
      "name      buffer_radius                                \n",
      "vlinder01 100            0.000000  0.981781    0.018219\n",
      "          250            0.000000  0.963635    0.036365\n",
      "vlinder02 100            0.000000  0.428769    0.571231\n",
      "          250            0.000000  0.535944    0.464056\n",
      "vlinder03 100            0.000000  0.245454    0.754546\n",
      "          250            0.000000  0.160831    0.839169\n",
      "vlinder04 100            0.000000  0.979569    0.020431\n",
      "          250            0.000000  0.881948    0.118052\n",
      "vlinder05 100            0.446604  0.224871    0.328525\n",
      "          250            0.242406  0.526977    0.230617\n",
      "vlinder06 100            0.000000  1.000000    0.000000\n",
      "          250            0.000000  0.995819    0.004181\n",
      "vlinder07 100            0.000000  0.433034    0.566966\n",
      "          250            0.002911  0.149681    0.847407\n",
      "vlinder08 100            0.000000  0.029552    0.970448\n",
      "          250            0.002911  0.030423    0.966666\n",
      "vlinder09 100            0.000000  1.000000    0.000000\n",
      "          250            0.000000  0.974895    0.025105\n",
      "vlinder10 100            0.000000  0.129686    0.870314\n",
      "          250            0.000000  0.125173    0.874827\n",
      "vlinder11 100            0.000000  0.273457    0.726543\n",
      "          250            0.000000  0.204337    0.795663\n",
      "vlinder12 100            0.000000  0.803321    0.196679\n",
      "          250            0.004188  0.313829    0.681983\n",
      "vlinder13 100            0.000000  0.006042    0.993958\n",
      "          250            0.000000  0.044648    0.955352\n",
      "vlinder14 100            0.000000  0.803469    0.196531\n",
      "          250            0.000000  0.835386    0.164614\n",
      "vlinder15 100            0.000000  0.798196    0.201804\n",
      "          250            0.000000  0.918644    0.081356\n",
      "vlinder16 100            0.367579  0.232926    0.399495\n",
      "          250            0.448841  0.217178    0.333981\n",
      "vlinder17 100            0.000000  0.989899    0.010101\n",
      "          250            0.000000  0.980923    0.019077\n",
      "vlinder18 100            0.000000  1.000000    0.000000\n",
      "          250            0.000000  1.000000    0.000000\n",
      "vlinder19 100            0.000000  0.447270    0.552730\n",
      "          250            0.000000  0.343485    0.656515\n",
      "vlinder20 100            0.000000  0.129964    0.870036\n",
      "          250            0.000000  0.039639    0.960361\n",
      "vlinder21 100            0.000000  1.000000    0.000000\n",
      "          250            0.000487  0.962068    0.037445\n",
      "vlinder22 100            0.973231  0.026769    0.000000\n",
      "          250            0.884010  0.115990    0.000000\n",
      "vlinder23 100            0.399503  0.600497    0.000000\n",
      "          250            0.272793  0.712724    0.014483\n",
      "vlinder24 100            0.000000  0.960773    0.039227\n",
      "          250            0.000000  0.946138    0.053862\n",
      "vlinder25 100            0.790001  0.152027    0.057972\n",
      "          250            0.899936  0.063972    0.036092\n",
      "vlinder26 100            0.000000  0.148975    0.851025\n",
      "          250            0.000000  0.174383    0.825617\n",
      "vlinder27 100            0.000000  0.011601    0.988399\n",
      "          250            0.018481  0.084840    0.896679\n",
      "vlinder28 100            0.000000  0.489951    0.510049\n",
      "          250            0.000000  0.721950    0.278050\n"
     ]
    }
   ],
   "source": [
    "aggregated_landcover = your_dataset.get_landcover(\n",
    "                                        buffers=[100, 250], # a list of buffer radii in meters\n",
    "                                        aggregate=True #if True, aggregate landcover classes to the water, pervious and impervious.\n",
    "                                        )\n",
    "\n",
    "print(aggregated_landcover)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10e19c71-322c-4508-879c-8d70ca7b873f",
   "metadata": {},
   "source": [
    "## Extracting ERA5 timeseries\n",
    "\n",
    "The toolkit has built-in functionality to extract ERA5 time series at the station locations. The ERA5 data will be stored in a [Modeldata](https://metobs-toolkit.readthedocs.io/en/latest/reference/modeldata.html) instance. Here is an example on how to get the ERA5 time series by using the ``get_modeldata()`` method.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "21f6430d-8d3b-49cf-8d63-8f909b72085d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "                }\n",
       "\n",
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       "                    --jp-layout-color3: #383838;\n",
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       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
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       "\n",
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     "text": [
      "(When using the .set_model_from_csv() method, make sure the modelname of your Modeldata is ERA5_hourly)\n",
      "Modeldata instance containing: \n",
      "     * Modelname: ERA5_hourly \n",
      "     * 1 timeseries \n",
      "     * The following obstypes are available: ['temp'] \n",
      "     * Data has these units: ['Celsius'] \n",
      "     * From 2022-09-01 00:00:00+00:00 --> 2022-09-16 00:00:00+00:00 (with tz=UTC) \n",
      " \n",
      " (Data is stored in the .df attribute)\n"
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     "data": {
      "text/plain": [
       "<Axes: title={'center': 'ERA5_hourly and temp observations.'}, ylabel='temp (Celsius) \\n ERA5_hourly: temperature_2m'>"
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     "output_type": "execute_result"
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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Get the ERA5 data for a single station (to reduce data transfer)\n",
    "your_station = your_dataset.get_station('vlinder02')\n",
    "\n",
    "#Extract time series at the location of the station\n",
    "ERA5_data = your_station.get_modeldata(modelname='ERA5_hourly', \n",
    "                                      obstype='temp', \n",
    "                                      startdt=None, #if None, the start of the observations is used \n",
    "                                      enddt=None, #if None, the end of the observations is used \n",
    "                                      )\n",
    "\n",
    "#Get info\n",
    "print(ERA5_data)\n",
    "ERA5_data.make_plot(obstype_model='temp', \n",
    "                    dataset=your_station, #add the observations to the same plot \n",
    "                    obstype_dataset='temp')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf1fae3e-b969-4f82-b63b-3bde86da9257",
   "metadata": {},
   "source": [
    "### GEE data transfer\n",
    "\n",
    "There is a limit to the amount of data that can be transfered directly from GEE. When the data cannot be transferred directly, **it will be written to a file on your Google Drive**. The location of the file will be printed out. When the writing to the file is done, you must download the file and import it to an empty *Modeldata* instance using the ``set_model_from_csv()`` method. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "77647240-3ba4-4fa3-90b8-eb1ef783c172",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "THE DATA AMOUT IS TO LAREGE FOR INTERACTIVE SESSION, THE DATA WILL BE EXPORTED TO YOUR GOOGLE DRIVE!\n",
      "The timeseries will be written to your Drive in era5_timeseries/era5_data \n",
      "The data is transfered! Open the following link in your browser: \n",
      "\n",
      "\n",
      "https://drive.google.com/#folders/1iSjU6u-kFeRS_YikiyaPoc09SNbmvvO1 \n",
      "\n",
      "\n",
      "To upload the data to the model, use the Modeldata.set_model_from_csv() method\n",
      "(When using the .set_model_from_csv() method, make sure the modelname of your Modeldata is ERA5_hourly)\n",
      "Empty Modeldata instance.\n"
     ]
    }
   ],
   "source": [
    "#Illustration\n",
    "#Extract time series at the locations all the station\n",
    "ERA5_data = your_dataset.get_modeldata(modelname='ERA5_hourly', \n",
    "                                      obstype='temp', \n",
    "                                      startdt=None, #if None, the start of the observations is used \n",
    "                                      enddt=None, #if None, the end of the observations is used \n",
    "                                      )\n",
    "\n",
    "#Because the data amount is too large, it will be written to a file on your Google Drive! The returned Modeldata is empty.\n",
    "print(ERA5_data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fd658a15-06cc-4841-852f-e1bb29809bdf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
       "                    --jp-widgets-label-color: white;\n",
       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
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       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#See the output to find the modeldata in your Google Drive, and download the file.\n",
    "#Update the empty Modeldata with the data from the file\n",
    "\n",
    "#ERA5_data.set_model_from_csv(csvpath='/home/..../era5_data.csv') #The path to the downloaded file\n",
    "#print(ERA5_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cec4bea4-bdb7-4298-b7ff-f9547403e7ea",
   "metadata": {},
   "source": [
    "## Interactive plotting of a GEE dataset\n",
    "\n",
    "You can make an interactive spatial plot to visualize the stations spatially by using the ``make_gee_plot()``."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "bc8d896c-bba7-490c-b173-1f501c44e08f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "            <style>\n",
       "                .geemap-dark {\n",
       "                    --jp-widgets-color: white;\n",
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       "                    --jp-ui-font-color1: white;\n",
       "                    --jp-layout-color2: #454545;\n",
       "                    background-color: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-dark .jupyter-button {\n",
       "                    --jp-layout-color3: #383838;\n",
       "                }\n",
       "\n",
       "                .geemap-colab {\n",
       "                    background-color: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "\n",
       "                .geemap-colab .jupyter-button {\n",
       "                    --jp-layout-color3: var(--colab-primary-surface-color, white);\n",
       "                }\n",
       "            </style>\n",
       "            "
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       "<IPython.core.display.HTML object>"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "    \n",
       "        &lt;script&gt;\n",
       "            L_NO_TOUCH = false;\n",
       "            L_DISABLE_3D = false;\n",
       "        &lt;/script&gt;\n",
       "    \n",
       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://code.jquery.com/jquery-3.7.1.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
       "    &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",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap-glyphicons.css&quot;/&gt;\n",
       "    &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_6fed3ef6d63d8e3f18f596a2131b8d85 {\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://cdn.jsdelivr.net/npm/leaflet.fullscreen@3.0.0/Control.FullScreen.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet.fullscreen@3.0.0/Control.FullScreen.css&quot;/&gt;\n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.draw/1.0.2/leaflet.draw.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/leaflet.draw/1.0.2/leaflet.draw.css&quot;/&gt;\n",
       "    &lt;script src=&quot;https://unpkg.com/leaflet-control-geocoder/dist/Control.Geocoder.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://unpkg.com/leaflet-control-geocoder/dist/Control.Geocoder.css&quot;/&gt;\n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;\n",
       "    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_6fed3ef6d63d8e3f18f596a2131b8d85&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "    \n",
       "&lt;!doctype html&gt;\n",
       "&lt;html lang=&quot;en&quot;&gt;\n",
       "&lt;head&gt;\n",
       "  &lt;meta charset=&quot;utf-8&quot;&gt;\n",
       "  &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width, initial-scale=1&quot;&gt;\n",
       "  &lt;title&gt;jQuery UI Draggable - Default functionality&lt;/title&gt;\n",
       "  &lt;link rel=&quot;stylesheet&quot; href=&quot;//code.jquery.com/ui/1.12.1/themes/base/jquery-ui.css&quot;&gt;\n",
       "\n",
       "  &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.js&quot;&gt;&lt;/script&gt;\n",
       "  &lt;script src=&quot;https://code.jquery.com/ui/1.12.1/jquery-ui.js&quot;&gt;&lt;/script&gt;\n",
       "\n",
       "  &lt;script&gt;\n",
       "  $( function() {\n",
       "    $( &quot;#maplegend&quot; ).draggable({\n",
       "                    start: function (event, ui) {\n",
       "                        $(this).css({\n",
       "                            right: &quot;auto&quot;,\n",
       "                            top: &quot;auto&quot;,\n",
       "                            bottom: &quot;auto&quot;\n",
       "                        });\n",
       "                    }\n",
       "                });\n",
       "});\n",
       "\n",
       "  &lt;/script&gt;\n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;\n",
       "\n",
       "\n",
       "&lt;div id=&#x27;maplegend&#x27; class=&#x27;maplegend&#x27;\n",
       "    style=&#x27;position: absolute; z-index:9999; border:2px solid grey; background-color:rgba(255, 255, 255, 0.8);\n",
       "     border-radius:6px; padding: 10px; font-size:14px; right: 20px; bottom: 20px;&#x27;&gt;\n",
       "\n",
       "&lt;div class=&#x27;legend-title&#x27;&gt;worldcover covers&lt;/div&gt;\n",
       "&lt;div class=&#x27;legend-scale&#x27;&gt;\n",
       "  &lt;ul class=&#x27;legend-labels&#x27;&gt;\n",
       "    &lt;li&gt;&lt;span style=&#x27;background:#006400;opacity:1.0;&#x27;&gt;&lt;/span&gt;Tree cover&lt;/li&gt;\n",
       "    &lt;li&gt;&lt;span style=&#x27;background:#ffbb22;opacity:1.0;&#x27;&gt;&lt;/span&gt;Shrubland&lt;/li&gt;\n",
       "    &lt;li&gt;&lt;span style=&#x27;background:#ffff4c;opacity:1.0;&#x27;&gt;&lt;/span&gt;Grassland&lt;/li&gt;\n",
       "    &lt;li&gt;&lt;span style=&#x27;background:#f096ff;opacity:1.0;&#x27;&gt;&lt;/span&gt;Cropland&lt;/li&gt;\n",
       "    &lt;li&gt;&lt;span style=&#x27;background:#fa0000;opacity:1.0;&#x27;&gt;&lt;/span&gt;Built-up&lt;/li&gt;\n",
       "    &lt;li&gt;&lt;span style=&#x27;background:#b4b4b4;opacity:1.0;&#x27;&gt;&lt;/span&gt;Bare / sparse vegetation&lt;/li&gt;\n",
       "    &lt;li&gt;&lt;span style=&#x27;background:#f0f0f0;opacity:1.0;&#x27;&gt;&lt;/span&gt;Snow and ice&lt;/li&gt;\n",
       "    &lt;li&gt;&lt;span style=&#x27;background:#0064c8;opacity:1.0;&#x27;&gt;&lt;/span&gt;Permanent water bodies&lt;/li&gt;\n",
       "    &lt;li&gt;&lt;span style=&#x27;background:#0096a0;opacity:1.0;&#x27;&gt;&lt;/span&gt;Herbaceous wetland&lt;/li&gt;\n",
       "    &lt;li&gt;&lt;span style=&#x27;background:#00cf75;opacity:1.0;&#x27;&gt;&lt;/span&gt;Mangroves&lt;/li&gt;\n",
       "    &lt;li&gt;&lt;span style=&#x27;background:#fae6a0;opacity:1.0;&#x27;&gt;&lt;/span&gt;Moss and lichen&lt;/li&gt;\n",
       "  &lt;/ul&gt;\n",
       "&lt;/div&gt;\n",
       "&lt;/div&gt;\n",
       "\n",
       "&lt;/body&gt;\n",
       "&lt;/html&gt;\n",
       "\n",
       "&lt;style type=&#x27;text/css&#x27;&gt;\n",
       "  .maplegend .legend-title {\n",
       "    text-align: left;\n",
       "    margin-bottom: 5px;\n",
       "    font-weight: bold;\n",
       "    font-size: 90%;\n",
       "    }\n",
       "  .maplegend .legend-scale ul {\n",
       "    margin: 0;\n",
       "    margin-bottom: 5px;\n",
       "    padding: 0;\n",
       "    float: left;\n",
       "    list-style: none;\n",
       "    }\n",
       "  .maplegend .legend-scale ul li {\n",
       "    font-size: 80%;\n",
       "    list-style: none;\n",
       "    margin-left: 0;\n",
       "    line-height: 18px;\n",
       "    margin-bottom: 2px;\n",
       "    }\n",
       "  .maplegend ul.legend-labels li span {\n",
       "    display: block;\n",
       "    float: left;\n",
       "    height: 16px;\n",
       "    width: 30px;\n",
       "    margin-right: 5px;\n",
       "    margin-left: 0;\n",
       "    border: 1px solid #999;\n",
       "    }\n",
       "  .maplegend .legend-source {\n",
       "    font-size: 80%;\n",
       "    color: #777;\n",
       "    clear: both;\n",
       "    }\n",
       "  .maplegend a {\n",
       "    color: #777;\n",
       "    }\n",
       "&lt;/style&gt;\n",
       "\n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;\n",
       "    \n",
       "    \n",
       "            var map_6fed3ef6d63d8e3f18f596a2131b8d85 = L.map(\n",
       "                &quot;map_6fed3ef6d63d8e3f18f596a2131b8d85&quot;,\n",
       "                {\n",
       "                    center: [20.0, 0.0],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 2,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                    eeInitialize: true,\n",
       "                    addGoogleMap: false,\n",
       "                    pluginLatlngpopup: false,\n",
       "                    pluginFullscreen: true,\n",
       "                    pluginDraw: true,\n",
       "                    DrawExport: false,\n",
       "                    pluginMinimap: false,\n",
       "                    locateControl: false,\n",
       "                    searchControl: true,\n",
       "                    layersControl: true,\n",
       "                }\n",
       "            );\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_25d45221372f384f5e978c3b4d95a4f4 = L.tileLayer(\n",
       "                &quot;https://tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;\\u0026copy; \\u003ca href=\\&quot;https://www.openstreetmap.org/copyright\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e contributors&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 19, &quot;maxZoom&quot;: 30, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            tile_layer_25d45221372f384f5e978c3b4d95a4f4.addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "            L.control.fullscreen(\n",
       "                {&quot;forceSeparateButton&quot;: false, &quot;position&quot;: &quot;topleft&quot;, &quot;title&quot;: &quot;Full Screen&quot;, &quot;titleCancel&quot;: &quot;Exit Full Screen&quot;}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "            var options = {\n",
       "              position: &quot;topleft&quot;,\n",
       "              draw: {},\n",
       "              edit: {},\n",
       "            }\n",
       "            // FeatureGroup is to store editable layers.\n",
       "            var drawnItems_draw_control_263477e8082b9ed0fd9f32490864665c = new L.featureGroup().addTo(\n",
       "                map_6fed3ef6d63d8e3f18f596a2131b8d85\n",
       "            );\n",
       "            options.edit.featureGroup = drawnItems_draw_control_263477e8082b9ed0fd9f32490864665c;\n",
       "            var draw_control_263477e8082b9ed0fd9f32490864665c = new L.Control.Draw(\n",
       "                options\n",
       "            ).addTo( map_6fed3ef6d63d8e3f18f596a2131b8d85 );\n",
       "            map_6fed3ef6d63d8e3f18f596a2131b8d85.on(L.Draw.Event.CREATED, function(e) {\n",
       "                var layer = e.layer,\n",
       "                    type = e.layerType;\n",
       "                var coords = JSON.stringify(layer.toGeoJSON());\n",
       "                layer.on(&#x27;click&#x27;, function() {\n",
       "                    alert(coords);\n",
       "                    console.log(coords);\n",
       "                });\n",
       "                drawnItems_draw_control_263477e8082b9ed0fd9f32490864665c.addLayer(layer);\n",
       "             });\n",
       "            map_6fed3ef6d63d8e3f18f596a2131b8d85.on(&#x27;draw:created&#x27;, function(e) {\n",
       "                drawnItems_draw_control_263477e8082b9ed0fd9f32490864665c.addLayer(e.layer);\n",
       "            });\n",
       "            \n",
       "        \n",
       "    \n",
       "\n",
       "            var geocoderOpts_geocoder_620a9464565d4df0481c9b6ffa32514f = {&quot;collapsed&quot;: true, &quot;defaultMarkGeocode&quot;: true, &quot;position&quot;: &quot;topleft&quot;, &quot;provider&quot;: &quot;nominatim&quot;, &quot;providerOptions&quot;: {}, &quot;zoom&quot;: 11};\n",
       "\n",
       "            // note: geocoder name should start with lowercase\n",
       "            var geocoderName_geocoder_620a9464565d4df0481c9b6ffa32514f = geocoderOpts_geocoder_620a9464565d4df0481c9b6ffa32514f[&quot;provider&quot;];\n",
       "\n",
       "            var customGeocoder_geocoder_620a9464565d4df0481c9b6ffa32514f = L.Control.Geocoder[ geocoderName_geocoder_620a9464565d4df0481c9b6ffa32514f ](\n",
       "                geocoderOpts_geocoder_620a9464565d4df0481c9b6ffa32514f[&#x27;providerOptions&#x27;]\n",
       "            );\n",
       "            geocoderOpts_geocoder_620a9464565d4df0481c9b6ffa32514f[&quot;geocoder&quot;] = customGeocoder_geocoder_620a9464565d4df0481c9b6ffa32514f;\n",
       "\n",
       "            L.Control.geocoder(\n",
       "                geocoderOpts_geocoder_620a9464565d4df0481c9b6ffa32514f\n",
       "            ).on(&#x27;markgeocode&#x27;, function(e) {\n",
       "                var zoom = geocoderOpts_geocoder_620a9464565d4df0481c9b6ffa32514f[&#x27;zoom&#x27;] || map_6fed3ef6d63d8e3f18f596a2131b8d85.getZoom();\n",
       "                map_6fed3ef6d63d8e3f18f596a2131b8d85.setView(e.geocode.center, zoom);\n",
       "            }).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "\n",
       "        \n",
       "    \n",
       "            map_6fed3ef6d63d8e3f18f596a2131b8d85.fitBounds(\n",
       "                [[20, 0], [20, 0]],\n",
       "                {&quot;maxZoom&quot;: 2}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            var tile_layer_3a92cb5bd83092678f5517f2708925bc = L.tileLayer(\n",
       "                &quot;https://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Esri&quot;, &quot;detectRetina&quot;: false, &quot;maxZoom&quot;: 22, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            tile_layer_3a92cb5bd83092678f5517f2708925bc.addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "            var tile_layer_d317175ba5d38e7113501d304a3e0e0e = L.tileLayer(\n",
       "                &quot;https://earthengine.googleapis.com/v1/projects/earthengine-legacy/maps/09c6cbfba515fe96a3231dccfee7e816-414c5b08d30494dfbaf49cfb872a5e13/tiles/{z}/{x}/{y}&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Google Earth Engine&quot;, &quot;detectRetina&quot;: false, &quot;maxZoom&quot;: 24, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1.0, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            );\n",
       "        \n",
       "    \n",
       "            tile_layer_d317175ba5d38e7113501d304a3e0e0e.addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "            var marker_8a35ba1d3edd1d3a5940fb9d19986a4c = L.marker(\n",
       "                [50.980438, 3.815763],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_51329c695f4546d463759478f03b39f2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_c36257b3defd2876034342ced5314877 = $(`&lt;div id=&quot;html_c36257b3defd2876034342ced5314877&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder01&lt;/div&gt;`)[0];\n",
       "                popup_51329c695f4546d463759478f03b39f2.setContent(html_c36257b3defd2876034342ced5314877);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_8a35ba1d3edd1d3a5940fb9d19986a4c.bindPopup(popup_51329c695f4546d463759478f03b39f2)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_a35541b6734d124bef9f6ec0be0a5ac5 = L.marker(\n",
       "                [51.022379, 3.709695],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_fa9ce1b2751d41350e1232d36e4b6a8b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_d3c7499bb8a10e7b7c653bf555f7063d = $(`&lt;div id=&quot;html_d3c7499bb8a10e7b7c653bf555f7063d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder02&lt;/div&gt;`)[0];\n",
       "                popup_fa9ce1b2751d41350e1232d36e4b6a8b.setContent(html_d3c7499bb8a10e7b7c653bf555f7063d);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_a35541b6734d124bef9f6ec0be0a5ac5.bindPopup(popup_fa9ce1b2751d41350e1232d36e4b6a8b)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_f49fadaace06df01ac199a4eda520070 = L.marker(\n",
       "                [51.324583, 4.952109],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_fc4099a85b317695153091e879ff875b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_cb76860c53859a12dc2a0412a4e1fa91 = $(`&lt;div id=&quot;html_cb76860c53859a12dc2a0412a4e1fa91&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder03&lt;/div&gt;`)[0];\n",
       "                popup_fc4099a85b317695153091e879ff875b.setContent(html_cb76860c53859a12dc2a0412a4e1fa91);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_f49fadaace06df01ac199a4eda520070.bindPopup(popup_fc4099a85b317695153091e879ff875b)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_2aeb75bde6f1018434fb081fa46d67af = L.marker(\n",
       "                [51.335522, 4.934732],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_2e989633c1801fd289d661338d8c0c41 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_f7201ea9ff38e286563a2b3b42bbda55 = $(`&lt;div id=&quot;html_f7201ea9ff38e286563a2b3b42bbda55&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder04&lt;/div&gt;`)[0];\n",
       "                popup_2e989633c1801fd289d661338d8c0c41.setContent(html_f7201ea9ff38e286563a2b3b42bbda55);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_2aeb75bde6f1018434fb081fa46d67af.bindPopup(popup_2e989633c1801fd289d661338d8c0c41)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_f4d5245d92cd8be86f2230ce6fb357d2 = L.marker(\n",
       "                [51.052655, 3.675183],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_6cae4c44fb2c940c058a6da76227c752 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_e7cbdfc4f9253ec551f7089dedfbda64 = $(`&lt;div id=&quot;html_e7cbdfc4f9253ec551f7089dedfbda64&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder05&lt;/div&gt;`)[0];\n",
       "                popup_6cae4c44fb2c940c058a6da76227c752.setContent(html_e7cbdfc4f9253ec551f7089dedfbda64);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_f4d5245d92cd8be86f2230ce6fb357d2.bindPopup(popup_6cae4c44fb2c940c058a6da76227c752)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_757f59ffb4684f42940727393046eb66 = L.marker(\n",
       "                [51.0271, 4.5163],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_5130974fb59838028b8b6e8a056892d0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_c00566f11b1918ef85b4f53524361156 = $(`&lt;div id=&quot;html_c00566f11b1918ef85b4f53524361156&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder06&lt;/div&gt;`)[0];\n",
       "                popup_5130974fb59838028b8b6e8a056892d0.setContent(html_c00566f11b1918ef85b4f53524361156);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_757f59ffb4684f42940727393046eb66.bindPopup(popup_5130974fb59838028b8b6e8a056892d0)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_bab89f238977afbb2aaa0346d6989fb4 = L.marker(\n",
       "                [51.030889, 4.478445],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_0331e63819eef52f2e459d554ec3c9df = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_fa7bfcc8c97ae46683e6b59011813fe9 = $(`&lt;div id=&quot;html_fa7bfcc8c97ae46683e6b59011813fe9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder07&lt;/div&gt;`)[0];\n",
       "                popup_0331e63819eef52f2e459d554ec3c9df.setContent(html_fa7bfcc8c97ae46683e6b59011813fe9);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_bab89f238977afbb2aaa0346d6989fb4.bindPopup(popup_0331e63819eef52f2e459d554ec3c9df)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_14aae13730235493bd0a4eee6329f5aa = L.marker(\n",
       "                [51.02813, 4.477398],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_ec98a527f1e10cdf6dc453eb0a4628dc = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_0d8c6bc3cea55780508fec2031a98fd2 = $(`&lt;div id=&quot;html_0d8c6bc3cea55780508fec2031a98fd2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder08&lt;/div&gt;`)[0];\n",
       "                popup_ec98a527f1e10cdf6dc453eb0a4628dc.setContent(html_0d8c6bc3cea55780508fec2031a98fd2);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_14aae13730235493bd0a4eee6329f5aa.bindPopup(popup_ec98a527f1e10cdf6dc453eb0a4628dc)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_0496cc67cef695de4d09544596842b5c = L.marker(\n",
       "                [50.927167, 4.075722],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_d7e0d84db1bd8e09b04223be16e06f30 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_b45fd376806207cd9bcb5ccb9037d195 = $(`&lt;div id=&quot;html_b45fd376806207cd9bcb5ccb9037d195&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder09&lt;/div&gt;`)[0];\n",
       "                popup_d7e0d84db1bd8e09b04223be16e06f30.setContent(html_b45fd376806207cd9bcb5ccb9037d195);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_0496cc67cef695de4d09544596842b5c.bindPopup(popup_d7e0d84db1bd8e09b04223be16e06f30)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_b0f118f693e929ca561c8b0f184ca3e5 = L.marker(\n",
       "                [50.935556, 4.041389],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_226bca9c308e7c3a5cb6bf9b68d05e41 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_d3dd085a5b1e183fb1774fc94b277d0e = $(`&lt;div id=&quot;html_d3dd085a5b1e183fb1774fc94b277d0e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder10&lt;/div&gt;`)[0];\n",
       "                popup_226bca9c308e7c3a5cb6bf9b68d05e41.setContent(html_d3dd085a5b1e183fb1774fc94b277d0e);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_b0f118f693e929ca561c8b0f184ca3e5.bindPopup(popup_226bca9c308e7c3a5cb6bf9b68d05e41)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_042b60ef87ef8271d5d341cb963c4531 = L.marker(\n",
       "                [51.222422, 4.381726],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_a98aff8b65edb38c96ef50caa07c5a5a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_b8adb31b446ac6ce7d8233b22bf8053d = $(`&lt;div id=&quot;html_b8adb31b446ac6ce7d8233b22bf8053d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder11&lt;/div&gt;`)[0];\n",
       "                popup_a98aff8b65edb38c96ef50caa07c5a5a.setContent(html_b8adb31b446ac6ce7d8233b22bf8053d);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_042b60ef87ef8271d5d341cb963c4531.bindPopup(popup_a98aff8b65edb38c96ef50caa07c5a5a)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_58d0644f9af7f30754ce33c9075a62bf = L.marker(\n",
       "                [51.216477, 4.42344],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_f88070d63b97795f347d0e32a6d27b50 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_907baf8cc49f9c2924c7a36f5b65c13a = $(`&lt;div id=&quot;html_907baf8cc49f9c2924c7a36f5b65c13a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder12&lt;/div&gt;`)[0];\n",
       "                popup_f88070d63b97795f347d0e32a6d27b50.setContent(html_907baf8cc49f9c2924c7a36f5b65c13a);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_58d0644f9af7f30754ce33c9075a62bf.bindPopup(popup_f88070d63b97795f347d0e32a6d27b50)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_714511b4d7853c38b265b798c4781ea5 = L.marker(\n",
       "                [51.212211, 4.398065],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_cc952513b0de1909620d145b9c869384 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_1a2bbef74320ed60cbb7c343e1cf646d = $(`&lt;div id=&quot;html_1a2bbef74320ed60cbb7c343e1cf646d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder13&lt;/div&gt;`)[0];\n",
       "                popup_cc952513b0de1909620d145b9c869384.setContent(html_1a2bbef74320ed60cbb7c343e1cf646d);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_714511b4d7853c38b265b798c4781ea5.bindPopup(popup_cc952513b0de1909620d145b9c869384)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_1b3b5f68fe7f074dd83b3d4387debe58 = L.marker(\n",
       "                [51.350618, 4.315013],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_320cf90e20d1e64aa35d0288a55707fd = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_39ad9d79ad60f07e3d27def349b1c34e = $(`&lt;div id=&quot;html_39ad9d79ad60f07e3d27def349b1c34e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder14&lt;/div&gt;`)[0];\n",
       "                popup_320cf90e20d1e64aa35d0288a55707fd.setContent(html_39ad9d79ad60f07e3d27def349b1c34e);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_1b3b5f68fe7f074dd83b3d4387debe58.bindPopup(popup_320cf90e20d1e64aa35d0288a55707fd)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_dc7220be2bb6b0463af4a4501ea3b359 = L.marker(\n",
       "                [50.9353, 4.1926],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_43dbad87df71d0fbb826fe05aa4b6a20 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_aa8f5daf545ea6d14c5e656aacc39b5f = $(`&lt;div id=&quot;html_aa8f5daf545ea6d14c5e656aacc39b5f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder15&lt;/div&gt;`)[0];\n",
       "                popup_43dbad87df71d0fbb826fe05aa4b6a20.setContent(html_aa8f5daf545ea6d14c5e656aacc39b5f);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_dc7220be2bb6b0463af4a4501ea3b359.bindPopup(popup_43dbad87df71d0fbb826fe05aa4b6a20)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_cb4a9df2b0fc6310fb7ef992dfc4288a = L.marker(\n",
       "                [51.26685, 4.293436],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_3872b073c8e1d23b05202cc8a0677a9f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_eb7fb1ea768bdd9f99cd447033cfb756 = $(`&lt;div id=&quot;html_eb7fb1ea768bdd9f99cd447033cfb756&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder16&lt;/div&gt;`)[0];\n",
       "                popup_3872b073c8e1d23b05202cc8a0677a9f.setContent(html_eb7fb1ea768bdd9f99cd447033cfb756);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_cb4a9df2b0fc6310fb7ef992dfc4288a.bindPopup(popup_3872b073c8e1d23b05202cc8a0677a9f)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_7a4c372bb311d7dcb710608b854b4219 = L.marker(\n",
       "                [51.065269, 5.613458],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_23070e49212c6ab62dba0f7c25964557 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_126b819432c534535e76c71eabb14f4e = $(`&lt;div id=&quot;html_126b819432c534535e76c71eabb14f4e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder17&lt;/div&gt;`)[0];\n",
       "                popup_23070e49212c6ab62dba0f7c25964557.setContent(html_126b819432c534535e76c71eabb14f4e);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_7a4c372bb311d7dcb710608b854b4219.bindPopup(popup_23070e49212c6ab62dba0f7c25964557)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_e7900375069833ea9540c829bac24c87 = L.marker(\n",
       "                [51.136244, 5.656769],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_a831fc753adcea3a15a21aa6da9352c6 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_8676a4848c91f18c4c013df3f7fc5a23 = $(`&lt;div id=&quot;html_8676a4848c91f18c4c013df3f7fc5a23&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder18&lt;/div&gt;`)[0];\n",
       "                popup_a831fc753adcea3a15a21aa6da9352c6.setContent(html_8676a4848c91f18c4c013df3f7fc5a23);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_e7900375069833ea9540c829bac24c87.bindPopup(popup_a831fc753adcea3a15a21aa6da9352c6)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_8413c99ec049be8e2b12152c681c3161 = L.marker(\n",
       "                [50.841455, 4.363672],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_faaee23d812fd4d66a9503c3782a6ec5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_47e44aed2ac41c5ed028bc73d0cfef0c = $(`&lt;div id=&quot;html_47e44aed2ac41c5ed028bc73d0cfef0c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder19&lt;/div&gt;`)[0];\n",
       "                popup_faaee23d812fd4d66a9503c3782a6ec5.setContent(html_47e44aed2ac41c5ed028bc73d0cfef0c);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_8413c99ec049be8e2b12152c681c3161.bindPopup(popup_faaee23d812fd4d66a9503c3782a6ec5)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_63673e3daf167136c8b269dc5fd31008 = L.marker(\n",
       "                [50.847025, 4.357971],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_aa094b4ce86de62c1a16bf34b5e1a6f4 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_2cba55b49f73d08c5445adb2550d1709 = $(`&lt;div id=&quot;html_2cba55b49f73d08c5445adb2550d1709&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder20&lt;/div&gt;`)[0];\n",
       "                popup_aa094b4ce86de62c1a16bf34b5e1a6f4.setContent(html_2cba55b49f73d08c5445adb2550d1709);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_63673e3daf167136c8b269dc5fd31008.bindPopup(popup_aa094b4ce86de62c1a16bf34b5e1a6f4)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_4bc9045611a8b112caa3d3f8416d3b11 = L.marker(\n",
       "                [51.260389, 2.991917],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_9774e9fcb28c17743bbb21138fbeff61 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_429adde638108175a1863a3b167a0da2 = $(`&lt;div id=&quot;html_429adde638108175a1863a3b167a0da2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder21&lt;/div&gt;`)[0];\n",
       "                popup_9774e9fcb28c17743bbb21138fbeff61.setContent(html_429adde638108175a1863a3b167a0da2);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_4bc9045611a8b112caa3d3f8416d3b11.bindPopup(popup_9774e9fcb28c17743bbb21138fbeff61)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_6b4a307b47198eef038c4a1cbe699924 = L.marker(\n",
       "                [50.989501, 2.85622],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_61382be25417d80b6f7401b752e24ba5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_fe7a7df522cc1020676e25000d7c68fe = $(`&lt;div id=&quot;html_fe7a7df522cc1020676e25000d7c68fe&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder22&lt;/div&gt;`)[0];\n",
       "                popup_61382be25417d80b6f7401b752e24ba5.setContent(html_fe7a7df522cc1020676e25000d7c68fe);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_6b4a307b47198eef038c4a1cbe699924.bindPopup(popup_61382be25417d80b6f7401b752e24ba5)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_a393f6e2ca1c0ed8b36f1728b6034d7c = L.marker(\n",
       "                [51.260578, 3.580151],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_5abe1d3fd80008219ff14db5e4b82760 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_63e3b1287a316ef0a46f143b2cacc6c7 = $(`&lt;div id=&quot;html_63e3b1287a316ef0a46f143b2cacc6c7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder23&lt;/div&gt;`)[0];\n",
       "                popup_5abe1d3fd80008219ff14db5e4b82760.setContent(html_63e3b1287a316ef0a46f143b2cacc6c7);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_a393f6e2ca1c0ed8b36f1728b6034d7c.bindPopup(popup_5abe1d3fd80008219ff14db5e4b82760)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_fb56f45da98402a1f01357f404c70661 = L.marker(\n",
       "                [51.167015, 3.572062],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_b44fe2e53d6ea2f596f4c5a84ee27cf8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_2f43e40e53e5e80e92232d496562db4d = $(`&lt;div id=&quot;html_2f43e40e53e5e80e92232d496562db4d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder24&lt;/div&gt;`)[0];\n",
       "                popup_b44fe2e53d6ea2f596f4c5a84ee27cf8.setContent(html_2f43e40e53e5e80e92232d496562db4d);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_fb56f45da98402a1f01357f404c70661.bindPopup(popup_b44fe2e53d6ea2f596f4c5a84ee27cf8)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_ba0db939a887cac44d87adfbac2f705b = L.marker(\n",
       "                [51.15472, 3.708611],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_be19e2d3ea799a2fd78f58c23d641744 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_66d3a347c390ecb2e8e68e1879682f30 = $(`&lt;div id=&quot;html_66d3a347c390ecb2e8e68e1879682f30&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder25&lt;/div&gt;`)[0];\n",
       "                popup_be19e2d3ea799a2fd78f58c23d641744.setContent(html_66d3a347c390ecb2e8e68e1879682f30);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_ba0db939a887cac44d87adfbac2f705b.bindPopup(popup_be19e2d3ea799a2fd78f58c23d641744)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_6fdebd3c6140064b724b90a86c0fffd7 = L.marker(\n",
       "                [51.16176, 4.997653],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_347901c05f63a8d75ca66e3c13f5934d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_89cc743106bb7e49ea02dbaa9f81edb4 = $(`&lt;div id=&quot;html_89cc743106bb7e49ea02dbaa9f81edb4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder26&lt;/div&gt;`)[0];\n",
       "                popup_347901c05f63a8d75ca66e3c13f5934d.setContent(html_89cc743106bb7e49ea02dbaa9f81edb4);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_6fdebd3c6140064b724b90a86c0fffd7.bindPopup(popup_347901c05f63a8d75ca66e3c13f5934d)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_03459f08a799bed5c1972ddf4767551d = L.marker(\n",
       "                [51.058099, 3.728067],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_a23d15396a8b995dc98a17a77f727eb6 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_5267372137781ac23cdea723e8e15203 = $(`&lt;div id=&quot;html_5267372137781ac23cdea723e8e15203&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder27&lt;/div&gt;`)[0];\n",
       "                popup_a23d15396a8b995dc98a17a77f727eb6.setContent(html_5267372137781ac23cdea723e8e15203);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_03459f08a799bed5c1972ddf4767551d.bindPopup(popup_a23d15396a8b995dc98a17a77f727eb6)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_f5fb5f6b8318f34473d235d6c8004217 = L.marker(\n",
       "                [51.035293, 3.769741],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "        \n",
       "    \n",
       "        var popup_f125386a9d342708ec4492ae4acc7fd7 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_11fd7f41cd55c50a1a9937bd9a6231b5 = $(`&lt;div id=&quot;html_11fd7f41cd55c50a1a9937bd9a6231b5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder28&lt;/div&gt;`)[0];\n",
       "                popup_f125386a9d342708ec4492ae4acc7fd7.setContent(html_11fd7f41cd55c50a1a9937bd9a6231b5);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_f5fb5f6b8318f34473d235d6c8004217.bindPopup(popup_f125386a9d342708ec4492ae4acc7fd7)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var layer_control_b60bcb31fb263f0111959ea615fa66e3_layers = {\n",
       "                base_layers : {\n",
       "                    &quot;openstreetmap&quot; : tile_layer_25d45221372f384f5e978c3b4d95a4f4,\n",
       "                },\n",
       "                overlays :  {\n",
       "                    &quot;Esri.WorldImagery&quot; : tile_layer_3a92cb5bd83092678f5517f2708925bc,\n",
       "                    &quot;worldcover&quot; : tile_layer_d317175ba5d38e7113501d304a3e0e0e,\n",
       "                },\n",
       "            };\n",
       "            let layer_control_b60bcb31fb263f0111959ea615fa66e3 = L.control.layers(\n",
       "                layer_control_b60bcb31fb263f0111959ea615fa66e3_layers.base_layers,\n",
       "                layer_control_b60bcb31fb263f0111959ea615fa66e3_layers.overlays,\n",
       "                {&quot;autoZIndex&quot;: true, &quot;collapsed&quot;: true, &quot;position&quot;: &quot;topright&quot;}\n",
       "            ).addTo(map_6fed3ef6d63d8e3f18f596a2131b8d85);\n",
       "\n",
       "        \n",
       "&lt;/script&gt;\n",
       "&lt;/html&gt;\" width=\"100%\" height=\"600\"style=\"border:none !important;\" \"allowfullscreen\" \"webkitallowfullscreen\" \"mozallowfullscreen\"></iframe>"
      ],
      "text/plain": [
       "<geemap.foliumap.Map at 0x7fb3c1f7fd90>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spatial_map = your_dataset.make_gee_plot(gee_map='worldcover')\n",
    "spatial_map"
   ]
  }
 ],
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