{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "b1600459-c400-47fa-a3a2-b3114f4a5a34",
   "metadata": {},
   "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."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8ed4367-693b-4692-bba4-aee9ceb8c311",
   "metadata": {},
   "source": [
    "## Create your Dataset\n",
    "\n",
    "Create a dataset with the demo data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8ec045a4-be37-4c1b-bed4-df4dbf27dc51",
   "metadata": {},
   "outputs": [],
   "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()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87479c13-6a41-4c53-ae7f-4c4eaaceef08",
   "metadata": {},
   "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. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0f94ec85-b403-41f2-bc4b-e256c93d9516",
   "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>network</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>call_name</th>\n",
       "      <th>location</th>\n",
       "      <th>geometry</th>\n",
       "      <th>lcz</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",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>vlinder01</th>\n",
       "      <td>Vlinder</td>\n",
       "      <td>50.980438</td>\n",
       "      <td>3.815763</td>\n",
       "      <td>Proefhoeve</td>\n",
       "      <td>Melle</td>\n",
       "      <td>POINT (3.81576 50.98044)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vlinder02</th>\n",
       "      <td>Vlinder</td>\n",
       "      <td>51.022379</td>\n",
       "      <td>3.709695</td>\n",
       "      <td>Sterre</td>\n",
       "      <td>Gent</td>\n",
       "      <td>POINT (3.70969 51.02238)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vlinder03</th>\n",
       "      <td>Vlinder</td>\n",
       "      <td>51.324583</td>\n",
       "      <td>4.952109</td>\n",
       "      <td>Centrum</td>\n",
       "      <td>Turnhout</td>\n",
       "      <td>POINT (4.95211 51.32458)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vlinder04</th>\n",
       "      <td>Vlinder</td>\n",
       "      <td>51.335522</td>\n",
       "      <td>4.934732</td>\n",
       "      <td>Stadsboerderij</td>\n",
       "      <td>Turnhout</td>\n",
       "      <td>POINT (4.93473 51.33552)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vlinder05</th>\n",
       "      <td>Vlinder</td>\n",
       "      <td>51.052655</td>\n",
       "      <td>3.675183</td>\n",
       "      <td>Watersportbaan</td>\n",
       "      <td>Gent</td>\n",
       "      <td>POINT (3.67518 51.05266)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "      <td>0 days 00:05:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           network        lat       lon       call_name  location  \\\n",
       "name                                                                \n",
       "vlinder01  Vlinder  50.980438  3.815763      Proefhoeve     Melle   \n",
       "vlinder02  Vlinder  51.022379  3.709695          Sterre      Gent   \n",
       "vlinder03  Vlinder  51.324583  4.952109         Centrum  Turnhout   \n",
       "vlinder04  Vlinder  51.335522  4.934732  Stadsboerderij  Turnhout   \n",
       "vlinder05  Vlinder  51.052655  3.675183  Watersportbaan      Gent   \n",
       "\n",
       "                           geometry  lcz assumed_import_frequency  \\\n",
       "name                                                                \n",
       "vlinder01  POINT (3.81576 50.98044)  NaN          0 days 00:05:00   \n",
       "vlinder02  POINT (3.70969 51.02238)  NaN          0 days 00:05:00   \n",
       "vlinder03  POINT (4.95211 51.32458)  NaN          0 days 00:05:00   \n",
       "vlinder04  POINT (4.93473 51.33552)  NaN          0 days 00:05:00   \n",
       "vlinder05  POINT (3.67518 51.05266)  NaN          0 days 00:05:00   \n",
       "\n",
       "          dataset_resolution  \n",
       "name                          \n",
       "vlinder01    0 days 00:05:00  \n",
       "vlinder02    0 days 00:05:00  \n",
       "vlinder03    0 days 00:05:00  \n",
       "vlinder04    0 days 00:05:00  \n",
       "vlinder05    0 days 00:05:00  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "your_dataset.metadf.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86003003-5fd8-4b6e-a613-073efc27cf4c",
   "metadata": {},
   "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:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "48431035-f130-44dc-9f35-5bfdd84fcff3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<p>To authorize access needed by Earth Engine, open the following\n",
       "        URL in a web browser and follow the instructions:</p>\n",
       "        <p><a href=https://code.earthengine.google.com/client-auth?scopes=https%3A//www.googleapis.com/auth/earthengine%20https%3A//www.googleapis.com/auth/devstorage.full_control&request_id=EilDDu9N_IN7ZxxlE8vHRyOhvajPnAULh-m6NKErDfA&tc=6gnXS_wEbNaFrF2IbPoa4ClUF8zPJXCu5eV4Z-p7mIE&cc=g2TqjaVuDM_wFOuJbQqeoAvDR8bLFGxRCM7W-4wlKJo>https://code.earthengine.google.com/client-auth?scopes=https%3A//www.googleapis.com/auth/earthengine%20https%3A//www.googleapis.com/auth/devstorage.full_control&request_id=EilDDu9N_IN7ZxxlE8vHRyOhvajPnAULh-m6NKErDfA&tc=6gnXS_wEbNaFrF2IbPoa4ClUF8zPJXCu5eV4Z-p7mIE&cc=g2TqjaVuDM_wFOuJbQqeoAvDR8bLFGxRCM7W-4wlKJo</a></p>\n",
       "        <p>The authorization workflow will generate a code, which you should paste in the box below.</p>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter verification code:  4/1AfJohXk4_ehQtiIn6aGEgF_Pv9ImRjoTVbH17orBc6cNf-eI4_kuuJ_0kLY\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Successfully saved authorization token.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "*** Earth Engine *** Share your feedback by taking our Annual Developer Satisfaction Survey: https://google.qualtrics.com/jfe/form/SV_doiqkQG3NJ1t8IS?source=API\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "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",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "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",
      "Name: lcz, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(your_dataset.metadf['lcz'].head())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c35c91a-2bc8-485c-92df-47ed68927667",
   "metadata": {},
   "source": [
    "To make a geospatial plot you can use the following method:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d5afd195-1aae-4254-a742-e917fb429d6a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/thoverga/anaconda3/envs/metobs_dev/lib/python3.9/site-packages/geopandas/plotting.py:48: ShapelyDeprecationWarning: The 'type' attribute is deprecated, and will be removed in the future. You can use the 'geom_type' attribute instead.\n",
      "  if geom is not None and geom.type.startswith(prefix) and not geom.is_empty:\n",
      "/home/thoverga/anaconda3/envs/metobs_dev/lib/python3.9/site-packages/geopandas/plotting.py:715: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(values.dtype):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'LCZ'}>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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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": [
    {
     "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": [
    {
     "name": "stdout",
     "output_type": "stream",
     "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": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(When using the .set_model_from_csv() method, make shure 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: {'temp': 'Celsius'} \n",
      "     * From 2022-09-01 00:00:00+00:00 --> 2022-09-15 23:00:00+00:00 (with tz=UTC) \n",
      " \n",
      " (Data is stored in the .df attribute)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'ERA5_hourly : temperature_2m and Temperatuur observations.'}, ylabel='temperature_2m \\n Temperatuur (Celcius)'>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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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": [
    {
     "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 writen 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 shure 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": [],
   "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()``."
   ]
  },
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       "            \n",
       "        \n",
       "\n",
       "        marker_f349504e033458641eb793d9e63b567b.bindPopup(popup_096481ff85a547885bd4de1611ec98cb)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_1ce0a99763c96613ae7736c12da22ae0 = L.marker(\n",
       "                [51.052655, 3.675183],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_2b510dd32a80f40aad39d241a9e07083 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_9c820bbf04ee13af5b102642fc72048a = $(`&lt;div id=&quot;html_9c820bbf04ee13af5b102642fc72048a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder05&lt;/div&gt;`)[0];\n",
       "                popup_2b510dd32a80f40aad39d241a9e07083.setContent(html_9c820bbf04ee13af5b102642fc72048a);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_1ce0a99763c96613ae7736c12da22ae0.bindPopup(popup_2b510dd32a80f40aad39d241a9e07083)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_a2da8a73942a9b85299a72261053dc1e = L.marker(\n",
       "                [51.0271, 4.5163],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_80069ff62bf692038e0062445f6f4b27 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_085776a6d631ccccfd219cde0cd5f393 = $(`&lt;div id=&quot;html_085776a6d631ccccfd219cde0cd5f393&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder06&lt;/div&gt;`)[0];\n",
       "                popup_80069ff62bf692038e0062445f6f4b27.setContent(html_085776a6d631ccccfd219cde0cd5f393);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_a2da8a73942a9b85299a72261053dc1e.bindPopup(popup_80069ff62bf692038e0062445f6f4b27)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_795bbf5147e030a0cab7d8ed500c07fe = L.marker(\n",
       "                [51.030889, 4.478445],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_a43c39d0003c122a93913eb4179c09ae = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_5c0060d1b3cefc756b8bf13aa66de456 = $(`&lt;div id=&quot;html_5c0060d1b3cefc756b8bf13aa66de456&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder07&lt;/div&gt;`)[0];\n",
       "                popup_a43c39d0003c122a93913eb4179c09ae.setContent(html_5c0060d1b3cefc756b8bf13aa66de456);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_795bbf5147e030a0cab7d8ed500c07fe.bindPopup(popup_a43c39d0003c122a93913eb4179c09ae)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_c5465b5664f48fd8f90641afce48e180 = L.marker(\n",
       "                [51.02813, 4.477398],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_2e0b3cc806b5a9366e8a77ca90ca029e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_a7d5400c1f4d8715625460bb7aa4261c = $(`&lt;div id=&quot;html_a7d5400c1f4d8715625460bb7aa4261c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder08&lt;/div&gt;`)[0];\n",
       "                popup_2e0b3cc806b5a9366e8a77ca90ca029e.setContent(html_a7d5400c1f4d8715625460bb7aa4261c);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_c5465b5664f48fd8f90641afce48e180.bindPopup(popup_2e0b3cc806b5a9366e8a77ca90ca029e)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_db7c6e379a1a53bb59d6bf30b6cddb28 = L.marker(\n",
       "                [50.927167, 4.075722],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_d4e33c3462ec2c44ac9fbf1c215b19ff = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_002febab5f7316edc23b154abc38bee0 = $(`&lt;div id=&quot;html_002febab5f7316edc23b154abc38bee0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder09&lt;/div&gt;`)[0];\n",
       "                popup_d4e33c3462ec2c44ac9fbf1c215b19ff.setContent(html_002febab5f7316edc23b154abc38bee0);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_db7c6e379a1a53bb59d6bf30b6cddb28.bindPopup(popup_d4e33c3462ec2c44ac9fbf1c215b19ff)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_60a5e68f423842bb2a4e808bcda4ad07 = L.marker(\n",
       "                [50.935556, 4.041389],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_d8d168cde73ae44f8f08a7d6be39ddea = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_2620aaa679506b091efaad908ed8cf3d = $(`&lt;div id=&quot;html_2620aaa679506b091efaad908ed8cf3d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder10&lt;/div&gt;`)[0];\n",
       "                popup_d8d168cde73ae44f8f08a7d6be39ddea.setContent(html_2620aaa679506b091efaad908ed8cf3d);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_60a5e68f423842bb2a4e808bcda4ad07.bindPopup(popup_d8d168cde73ae44f8f08a7d6be39ddea)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_2f40d28ae79706e503200dd530bd79aa = L.marker(\n",
       "                [51.222422, 4.381726],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_fb3b2f1ed2ac7724c50a710592024750 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_2206e5f342d5c12b38e73277fc59206c = $(`&lt;div id=&quot;html_2206e5f342d5c12b38e73277fc59206c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder11&lt;/div&gt;`)[0];\n",
       "                popup_fb3b2f1ed2ac7724c50a710592024750.setContent(html_2206e5f342d5c12b38e73277fc59206c);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_2f40d28ae79706e503200dd530bd79aa.bindPopup(popup_fb3b2f1ed2ac7724c50a710592024750)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_d3c3a9d37002cc08605bc5566748ccfe = L.marker(\n",
       "                [51.216477, 4.42344],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_bc57c93d91999a96c29e1438b620dd5f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_f1bbe545e52fb9aec54e4de7b5bb4656 = $(`&lt;div id=&quot;html_f1bbe545e52fb9aec54e4de7b5bb4656&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder12&lt;/div&gt;`)[0];\n",
       "                popup_bc57c93d91999a96c29e1438b620dd5f.setContent(html_f1bbe545e52fb9aec54e4de7b5bb4656);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_d3c3a9d37002cc08605bc5566748ccfe.bindPopup(popup_bc57c93d91999a96c29e1438b620dd5f)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_0a46ca58f2e643a99119dd79e5102aa8 = L.marker(\n",
       "                [51.212211, 4.398065],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_e3a8ecc5d98c273b7115c3b30a4d3d5c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_cecf862cb61c7f77b01f159cd16553d8 = $(`&lt;div id=&quot;html_cecf862cb61c7f77b01f159cd16553d8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder13&lt;/div&gt;`)[0];\n",
       "                popup_e3a8ecc5d98c273b7115c3b30a4d3d5c.setContent(html_cecf862cb61c7f77b01f159cd16553d8);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_0a46ca58f2e643a99119dd79e5102aa8.bindPopup(popup_e3a8ecc5d98c273b7115c3b30a4d3d5c)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_d927533b660a84e9b54bccd730386cd4 = L.marker(\n",
       "                [51.350618, 4.315013],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_c9e9000bffbcbcd72933315fbb325402 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_2a840b65e432ebae1f319bb4667aa0e1 = $(`&lt;div id=&quot;html_2a840b65e432ebae1f319bb4667aa0e1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder14&lt;/div&gt;`)[0];\n",
       "                popup_c9e9000bffbcbcd72933315fbb325402.setContent(html_2a840b65e432ebae1f319bb4667aa0e1);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_d927533b660a84e9b54bccd730386cd4.bindPopup(popup_c9e9000bffbcbcd72933315fbb325402)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_9938c4da3fa171b53f6ab2c059c276b0 = L.marker(\n",
       "                [50.9353, 4.1926],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_7cbd5425e6fe6218aee25041d2d31b07 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_8b6b37a2c8414fe51d97ab89e63c3aca = $(`&lt;div id=&quot;html_8b6b37a2c8414fe51d97ab89e63c3aca&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder15&lt;/div&gt;`)[0];\n",
       "                popup_7cbd5425e6fe6218aee25041d2d31b07.setContent(html_8b6b37a2c8414fe51d97ab89e63c3aca);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_9938c4da3fa171b53f6ab2c059c276b0.bindPopup(popup_7cbd5425e6fe6218aee25041d2d31b07)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_59b0846dcd8d5ee9a04783d86685fe50 = L.marker(\n",
       "                [51.26685, 4.293436],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_025f2a9603e445fc326b266a6b67bd8c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_2e0d8c33cac1972c9b6718f9370bfba6 = $(`&lt;div id=&quot;html_2e0d8c33cac1972c9b6718f9370bfba6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder16&lt;/div&gt;`)[0];\n",
       "                popup_025f2a9603e445fc326b266a6b67bd8c.setContent(html_2e0d8c33cac1972c9b6718f9370bfba6);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_59b0846dcd8d5ee9a04783d86685fe50.bindPopup(popup_025f2a9603e445fc326b266a6b67bd8c)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_e93709501afbaa512281da3492297457 = L.marker(\n",
       "                [51.065269, 5.613458],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_d237c084c145e895ceaab3f6b1279264 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_0cecff0b6f998f5657fdebee5c9366ad = $(`&lt;div id=&quot;html_0cecff0b6f998f5657fdebee5c9366ad&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder17&lt;/div&gt;`)[0];\n",
       "                popup_d237c084c145e895ceaab3f6b1279264.setContent(html_0cecff0b6f998f5657fdebee5c9366ad);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_e93709501afbaa512281da3492297457.bindPopup(popup_d237c084c145e895ceaab3f6b1279264)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_dbfc063052634b1e2515546cfedb8ae3 = L.marker(\n",
       "                [51.136244, 5.656769],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_8d55fe57f03be2c46c73797de5a8799a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_f71121a9c7cee759a302f168ab50e2e0 = $(`&lt;div id=&quot;html_f71121a9c7cee759a302f168ab50e2e0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder18&lt;/div&gt;`)[0];\n",
       "                popup_8d55fe57f03be2c46c73797de5a8799a.setContent(html_f71121a9c7cee759a302f168ab50e2e0);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_dbfc063052634b1e2515546cfedb8ae3.bindPopup(popup_8d55fe57f03be2c46c73797de5a8799a)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_932dde0f9f3208153d22b85d7883cc6b = L.marker(\n",
       "                [50.841455, 4.363672],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_67e8c103f517be3eee66348aec3d9766 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_66ab68e4b74b45030b782b7eeb75050d = $(`&lt;div id=&quot;html_66ab68e4b74b45030b782b7eeb75050d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder19&lt;/div&gt;`)[0];\n",
       "                popup_67e8c103f517be3eee66348aec3d9766.setContent(html_66ab68e4b74b45030b782b7eeb75050d);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_932dde0f9f3208153d22b85d7883cc6b.bindPopup(popup_67e8c103f517be3eee66348aec3d9766)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_7e61d6d4336180d2d965370148e49d55 = L.marker(\n",
       "                [50.847025, 4.357971],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_59b529558a3313c27cf38a35a9fb719b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_bfd9172709b8a8f721069191e039e768 = $(`&lt;div id=&quot;html_bfd9172709b8a8f721069191e039e768&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder20&lt;/div&gt;`)[0];\n",
       "                popup_59b529558a3313c27cf38a35a9fb719b.setContent(html_bfd9172709b8a8f721069191e039e768);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_7e61d6d4336180d2d965370148e49d55.bindPopup(popup_59b529558a3313c27cf38a35a9fb719b)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_d7e74b84999e12daa1bea196d09fae74 = L.marker(\n",
       "                [51.260389, 2.991917],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_b842d7859033d097b57b268b5cc2b5ee = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_262e66589ee3215a4e44965b865e103e = $(`&lt;div id=&quot;html_262e66589ee3215a4e44965b865e103e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder21&lt;/div&gt;`)[0];\n",
       "                popup_b842d7859033d097b57b268b5cc2b5ee.setContent(html_262e66589ee3215a4e44965b865e103e);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_d7e74b84999e12daa1bea196d09fae74.bindPopup(popup_b842d7859033d097b57b268b5cc2b5ee)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_41a5bbdc3311dce640df0be0d961b5a7 = L.marker(\n",
       "                [50.989501, 2.85622],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_4bf08b699b5265f85f2d4ace3c4695d4 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_15cdf85a64c2ef6cb5d1b4bf9a83e589 = $(`&lt;div id=&quot;html_15cdf85a64c2ef6cb5d1b4bf9a83e589&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder22&lt;/div&gt;`)[0];\n",
       "                popup_4bf08b699b5265f85f2d4ace3c4695d4.setContent(html_15cdf85a64c2ef6cb5d1b4bf9a83e589);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_41a5bbdc3311dce640df0be0d961b5a7.bindPopup(popup_4bf08b699b5265f85f2d4ace3c4695d4)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_8a316c3f8c2a94f6440c25ed0fe93e50 = L.marker(\n",
       "                [51.260578, 3.580151],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_256a85401bed9cc1b0c31aa4bd6aa12a = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_a5ae9aa1c6d7d3cef249083793c07529 = $(`&lt;div id=&quot;html_a5ae9aa1c6d7d3cef249083793c07529&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder23&lt;/div&gt;`)[0];\n",
       "                popup_256a85401bed9cc1b0c31aa4bd6aa12a.setContent(html_a5ae9aa1c6d7d3cef249083793c07529);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_8a316c3f8c2a94f6440c25ed0fe93e50.bindPopup(popup_256a85401bed9cc1b0c31aa4bd6aa12a)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_b8716714ce5e008f949d8f004018bf36 = L.marker(\n",
       "                [51.167015, 3.572062],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_c76c218c5098d6c33e867d658e67a36f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_e1e8d0fdcc1dfca4091814ba7aadfaf1 = $(`&lt;div id=&quot;html_e1e8d0fdcc1dfca4091814ba7aadfaf1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder24&lt;/div&gt;`)[0];\n",
       "                popup_c76c218c5098d6c33e867d658e67a36f.setContent(html_e1e8d0fdcc1dfca4091814ba7aadfaf1);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_b8716714ce5e008f949d8f004018bf36.bindPopup(popup_c76c218c5098d6c33e867d658e67a36f)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_66d4357fe68cf3ee2539687fcca88bc1 = L.marker(\n",
       "                [51.15472, 3.708611],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_1997f2f077a4748f51e3ce02b0f9e153 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_fd6cfa225c6417e202f2522909f3e051 = $(`&lt;div id=&quot;html_fd6cfa225c6417e202f2522909f3e051&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder25&lt;/div&gt;`)[0];\n",
       "                popup_1997f2f077a4748f51e3ce02b0f9e153.setContent(html_fd6cfa225c6417e202f2522909f3e051);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_66d4357fe68cf3ee2539687fcca88bc1.bindPopup(popup_1997f2f077a4748f51e3ce02b0f9e153)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_ebe8a528b98e7e0dc6ee6ad19bfc172d = L.marker(\n",
       "                [51.16176, 4.997653],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_82fc6cedbe52dad8bada9c4a54e8df42 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_abd07eb1d0103618177147684c56e658 = $(`&lt;div id=&quot;html_abd07eb1d0103618177147684c56e658&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder26&lt;/div&gt;`)[0];\n",
       "                popup_82fc6cedbe52dad8bada9c4a54e8df42.setContent(html_abd07eb1d0103618177147684c56e658);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_ebe8a528b98e7e0dc6ee6ad19bfc172d.bindPopup(popup_82fc6cedbe52dad8bada9c4a54e8df42)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_45a0c700a063dd146b3534922bfdb69d = L.marker(\n",
       "                [51.058099, 3.728067],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_a9eba0170755dc51496c1d9bc1a7ed7d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_eff9b703e534e547628cba4bea2df11d = $(`&lt;div id=&quot;html_eff9b703e534e547628cba4bea2df11d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder27&lt;/div&gt;`)[0];\n",
       "                popup_a9eba0170755dc51496c1d9bc1a7ed7d.setContent(html_eff9b703e534e547628cba4bea2df11d);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_45a0c700a063dd146b3534922bfdb69d.bindPopup(popup_a9eba0170755dc51496c1d9bc1a7ed7d)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var marker_11c5ca454bdd93075f00c25db2f3dc85 = L.marker(\n",
       "                [51.035293, 3.769741],\n",
       "                {&quot;fillColor&quot;: &quot;#43d9de&quot;, &quot;radius&quot;: 8}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\n",
       "        \n",
       "    \n",
       "        var popup_0a6fef017e8c9d73610fb4245c3b6b9e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            \n",
       "                var html_270fe0144c2995a260c6eef0873b8f00 = $(`&lt;div id=&quot;html_270fe0144c2995a260c6eef0873b8f00&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;vlinder28&lt;/div&gt;`)[0];\n",
       "                popup_0a6fef017e8c9d73610fb4245c3b6b9e.setContent(html_270fe0144c2995a260c6eef0873b8f00);\n",
       "            \n",
       "        \n",
       "\n",
       "        marker_11c5ca454bdd93075f00c25db2f3dc85.bindPopup(popup_0a6fef017e8c9d73610fb4245c3b6b9e)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var layer_control_bf4e2dfa0e4a817b79f413f8ee5bfb90_layers = {\n",
       "                base_layers : {\n",
       "                    &quot;openstreetmap&quot; : tile_layer_c5bdc0cbc9b6039f8ead283e51b0750a,\n",
       "                },\n",
       "                overlays :  {\n",
       "                    &quot;Google Maps&quot; : tile_layer_93f2ceab3f73b3c821081d745e498da9,\n",
       "                    &quot;Google Satellite&quot; : tile_layer_043afb124e304375e89ec4772938145b,\n",
       "                    &quot;worldcover&quot; : tile_layer_dcacfcea686d6e5780efd92b392c110c,\n",
       "                },\n",
       "            };\n",
       "            let layer_control_bf4e2dfa0e4a817b79f413f8ee5bfb90 = L.control.layers(\n",
       "                layer_control_bf4e2dfa0e4a817b79f413f8ee5bfb90_layers.base_layers,\n",
       "                layer_control_bf4e2dfa0e4a817b79f413f8ee5bfb90_layers.overlays,\n",
       "                {&quot;autoZIndex&quot;: true, &quot;collapsed&quot;: true, &quot;position&quot;: &quot;topright&quot;}\n",
       "            ).addTo(map_741bdfa149c730299fc96673b3281b9c);\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 0x7fd893414850>"
      ]
     },
     "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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