ski_area_cost.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ski area cost dataset building\n",
    "### for R spatial statistics analysis\n",
    "\n",
    "This notebook is dedicated to the pre-processing of data for the `5_spatial_statistics_analysis.Rmd` file in which an analysis on the costs of ski passes for the ski resorts in the area is conducted."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas as gpd\n",
    "import os\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from functions import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Save the shape of the South Tirol Dolomiti's area:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "area_dolomiti_BZ = dissolve_province_dolomiti_area(21)\n",
    "if not os.path.exists('data/area_dolomiti_BZ'):\n",
    "    os.mkdir(\"data/area_dolomiti_BZ\")\n",
    "    area_dolomiti_BZ.to_file('data/area_dolomiti_BZ/area_dolomiti_BZ.shp')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add ski areas' prices data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import ski slopes data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "ski_slopes_BZ = gpd.read_file(\"data\\Ski_slopes_data\")\n",
    "ski_slopes_BZ = ski_slopes_BZ.to_crs(epsg=4326)\n",
    "ski_slopes_BZ_clipped = ski_slopes_BZ.clip(area_dolomiti_BZ)\n",
    "\n",
    "ski_lifts_BZ = gpd.read_file(\"data\\Ski_lifts_data\")\n",
    "ski_lifts_BZ = ski_lifts_BZ.to_crs(epsg=4326)\n",
    "ski_lifts_BZ_clipped = ski_lifts_BZ.clip(area_dolomiti_BZ)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add prices based on a browse through each ski resort website:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>OBJECTID</th>\n",
       "      <th>SKIKEY</th>\n",
       "      <th>PLR</th>\n",
       "      <th>SKIZONE</th>\n",
       "      <th>NAME_IT</th>\n",
       "      <th>NAME_DE</th>\n",
       "      <th>PERIMETER</th>\n",
       "      <th>AREA</th>\n",
       "      <th>SHAPE</th>\n",
       "      <th>geometry</th>\n",
       "      <th>prices</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>19814.0</td>\n",
       "      <td>09.03</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Passo Oclini</td>\n",
       "      <td>Jochgrimm</td>\n",
       "      <td>10268.23</td>\n",
       "      <td>263014.59</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.45535 46.34220, 11.45539 46.34225...</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>19815.0</td>\n",
       "      <td>09.02</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Obereggen</td>\n",
       "      <td>Obereggen</td>\n",
       "      <td>34349.71</td>\n",
       "      <td>1025846.14</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.54576 46.35155, 11.54599 46.35167...</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>19797.0</td>\n",
       "      <td>09.13</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Pietralba</td>\n",
       "      <td>Weissenstein</td>\n",
       "      <td>3254.14</td>\n",
       "      <td>31874.84</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.40464 46.38949, 11.40526 46.38964...</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>19801.0</td>\n",
       "      <td>09.12</td>\n",
       "      <td>9.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>Panorama</td>\n",
       "      <td>Panorama</td>\n",
       "      <td>1613.21</td>\n",
       "      <td>71155.02</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.38559 46.39309, 11.38553 46.39312...</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>19781.0</td>\n",
       "      <td>09.01</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Carezza</td>\n",
       "      <td>Karerpass</td>\n",
       "      <td>2091.76</td>\n",
       "      <td>26603.43</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.59721 46.39920, 11.59735 46.39932...</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>19821.0</td>\n",
       "      <td>09.11</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Nova Ponente</td>\n",
       "      <td>Deutschnofen</td>\n",
       "      <td>1278.57</td>\n",
       "      <td>27610.65</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.44238 46.40267, 11.44245 46.40265...</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>19747.0</td>\n",
       "      <td>09.01</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Carezza</td>\n",
       "      <td>Karerpass</td>\n",
       "      <td>26734.26</td>\n",
       "      <td>971460.21</td>\n",
       "      <td>None</td>\n",
       "      <td>MULTIPOLYGON (((11.59469 46.42807, 11.59478 46...</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>19782.0</td>\n",
       "      <td>09.01</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Carezza</td>\n",
       "      <td>Karerpass</td>\n",
       "      <td>22460.62</td>\n",
       "      <td>529695.47</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.60384 46.44557, 11.60403 46.44552...</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>19831.0</td>\n",
       "      <td>10.02</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Alpe di Siusi</td>\n",
       "      <td>Seiseralm</td>\n",
       "      <td>326.37</td>\n",
       "      <td>5589.98</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.67007 46.53175, 11.66975 46.53198...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>19830.0</td>\n",
       "      <td>10.02</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Alpe di Siusi</td>\n",
       "      <td>Seiseralm</td>\n",
       "      <td>103994.64</td>\n",
       "      <td>2488113.67</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.66048 46.55835, 11.66062 46.55834...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>19832.0</td>\n",
       "      <td>10.02</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Alpe di Siusi</td>\n",
       "      <td>Seiseralm</td>\n",
       "      <td>8560.44</td>\n",
       "      <td>48961.64</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.66717 46.56815, 11.66717 46.56815...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>19783.0</td>\n",
       "      <td>10.01</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Castelrotto</td>\n",
       "      <td>Kastelruth</td>\n",
       "      <td>8158.88</td>\n",
       "      <td>179288.20</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.56257 46.56681, 11.56264 46.56687...</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>19833.0</td>\n",
       "      <td>10.02</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Alpe di Siusi</td>\n",
       "      <td>Seiseralm</td>\n",
       "      <td>5490.75</td>\n",
       "      <td>118347.77</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.66598 46.57042, 11.66608 46.57056...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>19772.0</td>\n",
       "      <td>10.04</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Monte Pana-Ciampinoi-Passo Sella</td>\n",
       "      <td>Monte Pana-Ciampinoi-Sellajoch</td>\n",
       "      <td>88400.40</td>\n",
       "      <td>3107152.55</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.73329 46.55775, 11.73323 46.55775...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>19836.0</td>\n",
       "      <td>10.04</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Monte Pana-Ciampinoi-Passo Sella</td>\n",
       "      <td>Monte Pana-Ciampinoi-Sellajoch</td>\n",
       "      <td>2590.27</td>\n",
       "      <td>32098.18</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.77787 46.53176, 11.77799 46.53178...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>19771.0</td>\n",
       "      <td>10.04</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Monte Pana-Ciampinoi-Passo Sella</td>\n",
       "      <td>Monte Pana-Ciampinoi-Sellajoch</td>\n",
       "      <td>553.62</td>\n",
       "      <td>18996.18</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.77877 46.53665, 11.77861 46.53670...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>19770.0</td>\n",
       "      <td>10.04</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Monte Pana-Ciampinoi-Passo Sella</td>\n",
       "      <td>Monte Pana-Ciampinoi-Sellajoch</td>\n",
       "      <td>575.84</td>\n",
       "      <td>486.18</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.76371 46.55103, 11.76364 46.55110...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>19835.0</td>\n",
       "      <td>10.04</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Monte Pana-Ciampinoi-Passo Sella</td>\n",
       "      <td>Monte Pana-Ciampinoi-Sellajoch</td>\n",
       "      <td>2913.25</td>\n",
       "      <td>133655.35</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.70835 46.54995, 11.70861 46.55021...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>19756.0</td>\n",
       "      <td>15.01</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Corvara-Badia</td>\n",
       "      <td>Corvara-Abtei</td>\n",
       "      <td>142191.11</td>\n",
       "      <td>2925931.80</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.90726 46.58213, 11.90727 46.58212...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>19779.0</td>\n",
       "      <td>10.05</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Danterceppies-Passo Gardena</td>\n",
       "      <td>Danterceppies-Grödnerjoch</td>\n",
       "      <td>3272.85</td>\n",
       "      <td>99036.51</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.76270 46.55377, 11.76270 46.55377...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19760.0</td>\n",
       "      <td>10.05</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Danterceppies-Passo Gardena</td>\n",
       "      <td>Danterceppies-Grödnerjoch</td>\n",
       "      <td>642.11</td>\n",
       "      <td>1636.67</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.75879 46.55752, 11.75900 46.55763...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>19777.0</td>\n",
       "      <td>10.05</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Danterceppies-Passo Gardena</td>\n",
       "      <td>Danterceppies-Grödnerjoch</td>\n",
       "      <td>57921.81</td>\n",
       "      <td>1605341.35</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.85131 46.56806, 11.85133 46.56805...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>19778.0</td>\n",
       "      <td>10.05</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Danterceppies-Passo Gardena</td>\n",
       "      <td>Danterceppies-Grödnerjoch</td>\n",
       "      <td>240.77</td>\n",
       "      <td>1581.17</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.85407 46.55761, 11.85407 46.55764...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>19757.0</td>\n",
       "      <td>15.01</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Corvara-Badia</td>\n",
       "      <td>Corvara-Abtei</td>\n",
       "      <td>9620.46</td>\n",
       "      <td>85055.89</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.98203 46.55965, 11.98201 46.55964...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>19755.0</td>\n",
       "      <td>15.01</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Corvara-Badia</td>\n",
       "      <td>Corvara-Abtei</td>\n",
       "      <td>2580.97</td>\n",
       "      <td>10925.79</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.96792 46.55539, 11.96772 46.55540...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>19776.0</td>\n",
       "      <td>15.03</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Pedraces</td>\n",
       "      <td>Pedraces</td>\n",
       "      <td>8896.88</td>\n",
       "      <td>209297.22</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.93666 46.61448, 11.93667 46.61449...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>19775.0</td>\n",
       "      <td>16.05</td>\n",
       "      <td>16.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Passo Monte Croce Comelico</td>\n",
       "      <td>Kreuzbergpass</td>\n",
       "      <td>5930.97</td>\n",
       "      <td>90844.16</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((12.41464 46.65149, 12.41498 46.65177...</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>19773.0</td>\n",
       "      <td>16.01</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Sesto-Monte Elmo-Prati di Croda Rossa</td>\n",
       "      <td>Sexten-Helm-Rotwandwiesen</td>\n",
       "      <td>1908.97</td>\n",
       "      <td>87207.24</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((12.35354 46.69686, 12.35384 46.69666...</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>19774.0</td>\n",
       "      <td>16.01</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Sesto-Monte Elmo-Prati di Croda Rossa</td>\n",
       "      <td>Sexten-Helm-Rotwandwiesen</td>\n",
       "      <td>84681.11</td>\n",
       "      <td>1560391.66</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((12.36909 46.70714, 12.36891 46.70728...</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>19752.0</td>\n",
       "      <td>14.02</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>S. Vigilio di Marebbe</td>\n",
       "      <td>St. Vigil</td>\n",
       "      <td>11830.41</td>\n",
       "      <td>337659.22</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.90765 46.69795, 11.90761 46.69793...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>19759.0</td>\n",
       "      <td>16.03</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Braies Vecchia</td>\n",
       "      <td>Altprags</td>\n",
       "      <td>8392.11</td>\n",
       "      <td>273267.47</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((12.15511 46.70515, 12.15518 46.70526...</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>19749.0</td>\n",
       "      <td>16.02</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Baranci</td>\n",
       "      <td>Haunold</td>\n",
       "      <td>8475.58</td>\n",
       "      <td>288835.86</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((12.27616 46.72718, 12.27610 46.72731...</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>19834.0</td>\n",
       "      <td>10.04</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Monte Pana-Ciampinoi-Passo Sella</td>\n",
       "      <td>Monte Pana-Ciampinoi-Sellajoch</td>\n",
       "      <td>1777.88</td>\n",
       "      <td>2488.50</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.73373 46.55808, 11.73379 46.55812...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>19785.0</td>\n",
       "      <td>10.03</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Seceda</td>\n",
       "      <td>Seceda</td>\n",
       "      <td>726.77</td>\n",
       "      <td>11927.91</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.73278 46.56119, 11.73348 46.56130...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>19784.0</td>\n",
       "      <td>10.03</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Seceda</td>\n",
       "      <td>Seceda</td>\n",
       "      <td>43184.02</td>\n",
       "      <td>1590674.99</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.68702 46.57992, 11.68681 46.57988...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19794.0</td>\n",
       "      <td>15.01</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Corvara-Badia</td>\n",
       "      <td>Corvara-Abtei</td>\n",
       "      <td>1564.08</td>\n",
       "      <td>18155.70</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.90190 46.58137, 11.90179 46.58132...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>19761.0</td>\n",
       "      <td>15.02</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Gardenaccia</td>\n",
       "      <td>Gardenaccia</td>\n",
       "      <td>10772.65</td>\n",
       "      <td>231688.60</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.90042 46.59897, 11.90058 46.59899...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19763.0</td>\n",
       "      <td>11.13</td>\n",
       "      <td>11.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Filler</td>\n",
       "      <td>Filler</td>\n",
       "      <td>2707.28</td>\n",
       "      <td>186099.19</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.71259 46.64121, 11.71356 46.64119...</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>19750.0</td>\n",
       "      <td>14.03</td>\n",
       "      <td>14.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Antermoia</td>\n",
       "      <td>Untermoi</td>\n",
       "      <td>5621.42</td>\n",
       "      <td>83493.85</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((11.84702 46.69042, 11.84707 46.69051...</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>19748.0</td>\n",
       "      <td>16.04</td>\n",
       "      <td>16.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Rienza</td>\n",
       "      <td>Rienz</td>\n",
       "      <td>3354.86</td>\n",
       "      <td>96469.58</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((12.20324 46.72429, 12.20252 46.72765...</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>19762.0</td>\n",
       "      <td>14.01</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Plan de corones</td>\n",
       "      <td>Kronplatz</td>\n",
       "      <td>1494.77</td>\n",
       "      <td>80420.69</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((12.00833 46.74483, 12.00832 46.74483...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>19741.0</td>\n",
       "      <td>14.01</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Plan de corones</td>\n",
       "      <td>Kronplatz</td>\n",
       "      <td>101408.96</td>\n",
       "      <td>4077847.99</td>\n",
       "      <td>None</td>\n",
       "      <td>MULTIPOLYGON (((11.95993 46.72183, 11.95996 46...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>19790.0</td>\n",
       "      <td>14.14</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>Keil</td>\n",
       "      <td>Keil</td>\n",
       "      <td>1774.04</td>\n",
       "      <td>37716.23</td>\n",
       "      <td>None</td>\n",
       "      <td>POLYGON ((12.03985 46.74747, 12.03977 46.74756...</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    OBJECTID SKIKEY   PLR  SKIZONE                                NAME_IT  \\\n",
       "42   19814.0  09.03   9.0      3.0                           Passo Oclini   \n",
       "43   19815.0  09.02   9.0      2.0                              Obereggen   \n",
       "7    19797.0  09.13   9.0     13.0                              Pietralba   \n",
       "20   19801.0  09.12   9.0     12.0                               Panorama   \n",
       "29   19781.0  09.01   9.0      1.0                                Carezza   \n",
       "59   19821.0  09.11   9.0     11.0                           Nova Ponente   \n",
       "81   19747.0  09.01   9.0      1.0                                Carezza   \n",
       "49   19782.0  09.01   9.0      1.0                                Carezza   \n",
       "69   19831.0  10.02  10.0      2.0                          Alpe di Siusi   \n",
       "68   19830.0  10.02  10.0      2.0                          Alpe di Siusi   \n",
       "70   19832.0  10.02  10.0      2.0                          Alpe di Siusi   \n",
       "50   19783.0  10.01  10.0      1.0                            Castelrotto   \n",
       "71   19833.0  10.02  10.0      2.0                          Alpe di Siusi   \n",
       "16   19772.0  10.04  10.0      4.0       Monte Pana-Ciampinoi-Passo Sella   \n",
       "74   19836.0  10.04  10.0      4.0       Monte Pana-Ciampinoi-Passo Sella   \n",
       "15   19771.0  10.04  10.0      4.0       Monte Pana-Ciampinoi-Passo Sella   \n",
       "14   19770.0  10.04  10.0      4.0       Monte Pana-Ciampinoi-Passo Sella   \n",
       "73   19835.0  10.04  10.0      4.0       Monte Pana-Ciampinoi-Passo Sella   \n",
       "90   19756.0  15.01  15.0      1.0                          Corvara-Badia   \n",
       "27   19779.0  10.05  10.0      5.0            Danterceppies-Passo Gardena   \n",
       "0    19760.0  10.05  10.0      5.0            Danterceppies-Passo Gardena   \n",
       "25   19777.0  10.05  10.0      5.0            Danterceppies-Passo Gardena   \n",
       "26   19778.0  10.05  10.0      5.0            Danterceppies-Passo Gardena   \n",
       "91   19757.0  15.01  15.0      1.0                          Corvara-Badia   \n",
       "89   19755.0  15.01  15.0      1.0                          Corvara-Badia   \n",
       "24   19776.0  15.03  15.0      3.0                               Pedraces   \n",
       "23   19775.0  16.05  16.0      5.0             Passo Monte Croce Comelico   \n",
       "21   19773.0  16.01  16.0      1.0  Sesto-Monte Elmo-Prati di Croda Rossa   \n",
       "22   19774.0  16.01  16.0      1.0  Sesto-Monte Elmo-Prati di Croda Rossa   \n",
       "86   19752.0  14.02  14.0      2.0                  S. Vigilio di Marebbe   \n",
       "93   19759.0  16.03  16.0      3.0                         Braies Vecchia   \n",
       "83   19749.0  16.02  16.0      2.0                                Baranci   \n",
       "72   19834.0  10.04  10.0      4.0       Monte Pana-Ciampinoi-Passo Sella   \n",
       "52   19785.0  10.03  10.0      3.0                                 Seceda   \n",
       "51   19784.0  10.03  10.0      3.0                                 Seceda   \n",
       "4    19794.0  15.01  15.0      1.0                          Corvara-Badia   \n",
       "1    19761.0  15.02  15.0      2.0                            Gardenaccia   \n",
       "3    19763.0  11.13  11.0     13.0                                 Filler   \n",
       "84   19750.0  14.03  14.0      3.0                              Antermoia   \n",
       "82   19748.0  16.04  16.0      4.0                                 Rienza   \n",
       "2    19762.0  14.01  14.0      1.0                        Plan de corones   \n",
       "75   19741.0  14.01  14.0      1.0                        Plan de corones   \n",
       "57   19790.0  14.14  14.0     14.0                                   Keil   \n",
       "\n",
       "                           NAME_DE  PERIMETER        AREA SHAPE  \\\n",
       "42                       Jochgrimm   10268.23   263014.59  None   \n",
       "43                       Obereggen   34349.71  1025846.14  None   \n",
       "7                     Weissenstein    3254.14    31874.84  None   \n",
       "20                        Panorama    1613.21    71155.02  None   \n",
       "29                       Karerpass    2091.76    26603.43  None   \n",
       "59                    Deutschnofen    1278.57    27610.65  None   \n",
       "81                       Karerpass   26734.26   971460.21  None   \n",
       "49                       Karerpass   22460.62   529695.47  None   \n",
       "69                       Seiseralm     326.37     5589.98  None   \n",
       "68                       Seiseralm  103994.64  2488113.67  None   \n",
       "70                       Seiseralm    8560.44    48961.64  None   \n",
       "50                      Kastelruth    8158.88   179288.20  None   \n",
       "71                       Seiseralm    5490.75   118347.77  None   \n",
       "16  Monte Pana-Ciampinoi-Sellajoch   88400.40  3107152.55  None   \n",
       "74  Monte Pana-Ciampinoi-Sellajoch    2590.27    32098.18  None   \n",
       "15  Monte Pana-Ciampinoi-Sellajoch     553.62    18996.18  None   \n",
       "14  Monte Pana-Ciampinoi-Sellajoch     575.84      486.18  None   \n",
       "73  Monte Pana-Ciampinoi-Sellajoch    2913.25   133655.35  None   \n",
       "90                   Corvara-Abtei  142191.11  2925931.80  None   \n",
       "27       Danterceppies-Grödnerjoch    3272.85    99036.51  None   \n",
       "0        Danterceppies-Grödnerjoch     642.11     1636.67  None   \n",
       "25       Danterceppies-Grödnerjoch   57921.81  1605341.35  None   \n",
       "26       Danterceppies-Grödnerjoch     240.77     1581.17  None   \n",
       "91                   Corvara-Abtei    9620.46    85055.89  None   \n",
       "89                   Corvara-Abtei    2580.97    10925.79  None   \n",
       "24                        Pedraces    8896.88   209297.22  None   \n",
       "23                   Kreuzbergpass    5930.97    90844.16  None   \n",
       "21       Sexten-Helm-Rotwandwiesen    1908.97    87207.24  None   \n",
       "22       Sexten-Helm-Rotwandwiesen   84681.11  1560391.66  None   \n",
       "86                       St. Vigil   11830.41   337659.22  None   \n",
       "93                        Altprags    8392.11   273267.47  None   \n",
       "83                         Haunold    8475.58   288835.86  None   \n",
       "72  Monte Pana-Ciampinoi-Sellajoch    1777.88     2488.50  None   \n",
       "52                          Seceda     726.77    11927.91  None   \n",
       "51                          Seceda   43184.02  1590674.99  None   \n",
       "4                    Corvara-Abtei    1564.08    18155.70  None   \n",
       "1                      Gardenaccia   10772.65   231688.60  None   \n",
       "3                           Filler    2707.28   186099.19  None   \n",
       "84                        Untermoi    5621.42    83493.85  None   \n",
       "82                           Rienz    3354.86    96469.58  None   \n",
       "2                        Kronplatz    1494.77    80420.69  None   \n",
       "75                       Kronplatz  101408.96  4077847.99  None   \n",
       "57                            Keil    1774.04    37716.23  None   \n",
       "\n",
       "                                             geometry prices  \n",
       "42  POLYGON ((11.45535 46.34220, 11.45539 46.34225...   20.0  \n",
       "43  POLYGON ((11.54576 46.35155, 11.54599 46.35167...   55.0  \n",
       "7   POLYGON ((11.40464 46.38949, 11.40526 46.38964...   50.0  \n",
       "20  POLYGON ((11.38559 46.39309, 11.38553 46.39312...   55.0  \n",
       "29  POLYGON ((11.59721 46.39920, 11.59735 46.39932...   52.0  \n",
       "59  POLYGON ((11.44238 46.40267, 11.44245 46.40265...   55.0  \n",
       "81  MULTIPOLYGON (((11.59469 46.42807, 11.59478 46...   52.0  \n",
       "49  POLYGON ((11.60384 46.44557, 11.60403 46.44552...   52.0  \n",
       "69  POLYGON ((11.67007 46.53175, 11.66975 46.53198...   62.0  \n",
       "68  POLYGON ((11.66048 46.55835, 11.66062 46.55834...   62.0  \n",
       "70  POLYGON ((11.66717 46.56815, 11.66717 46.56815...   62.0  \n",
       "50  POLYGON ((11.56257 46.56681, 11.56264 46.56687...   50.0  \n",
       "71  POLYGON ((11.66598 46.57042, 11.66608 46.57056...   62.0  \n",
       "16  POLYGON ((11.73329 46.55775, 11.73323 46.55775...   62.0  \n",
       "74  POLYGON ((11.77787 46.53176, 11.77799 46.53178...   62.0  \n",
       "15  POLYGON ((11.77877 46.53665, 11.77861 46.53670...   62.0  \n",
       "14  POLYGON ((11.76371 46.55103, 11.76364 46.55110...   62.0  \n",
       "73  POLYGON ((11.70835 46.54995, 11.70861 46.55021...   62.0  \n",
       "90  POLYGON ((11.90726 46.58213, 11.90727 46.58212...   62.0  \n",
       "27  POLYGON ((11.76270 46.55377, 11.76270 46.55377...   62.0  \n",
       "0   POLYGON ((11.75879 46.55752, 11.75900 46.55763...   62.0  \n",
       "25  POLYGON ((11.85131 46.56806, 11.85133 46.56805...   62.0  \n",
       "26  POLYGON ((11.85407 46.55761, 11.85407 46.55764...   62.0  \n",
       "91  POLYGON ((11.98203 46.55965, 11.98201 46.55964...   62.0  \n",
       "89  POLYGON ((11.96792 46.55539, 11.96772 46.55540...   62.0  \n",
       "24  POLYGON ((11.93666 46.61448, 11.93667 46.61449...   62.0  \n",
       "23  POLYGON ((12.41464 46.65149, 12.41498 46.65177...   61.0  \n",
       "21  POLYGON ((12.35354 46.69686, 12.35384 46.69666...   61.0  \n",
       "22  POLYGON ((12.36909 46.70714, 12.36891 46.70728...   61.0  \n",
       "86  POLYGON ((11.90765 46.69795, 11.90761 46.69793...   62.0  \n",
       "93  POLYGON ((12.15511 46.70515, 12.15518 46.70526...   61.0  \n",
       "83  POLYGON ((12.27616 46.72718, 12.27610 46.72731...   61.0  \n",
       "72  POLYGON ((11.73373 46.55808, 11.73379 46.55812...   62.0  \n",
       "52  POLYGON ((11.73278 46.56119, 11.73348 46.56130...   62.0  \n",
       "51  POLYGON ((11.68702 46.57992, 11.68681 46.57988...   62.0  \n",
       "4   POLYGON ((11.90190 46.58137, 11.90179 46.58132...   62.0  \n",
       "1   POLYGON ((11.90042 46.59897, 11.90058 46.59899...   62.0  \n",
       "3   POLYGON ((11.71259 46.64121, 11.71356 46.64119...   50.0  \n",
       "84  POLYGON ((11.84702 46.69042, 11.84707 46.69051...   50.0  \n",
       "82  POLYGON ((12.20324 46.72429, 12.20252 46.72765...   37.5  \n",
       "2   POLYGON ((12.00833 46.74483, 12.00832 46.74483...   62.0  \n",
       "75  MULTIPOLYGON (((11.95993 46.72183, 11.95996 46...   62.0  \n",
       "57  POLYGON ((12.03985 46.74747, 12.03977 46.74756...   62.0  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ski_slopes_BZ_clipped_prices = ski_slopes_BZ_clipped\n",
    "ski_slopes_BZ_clipped_prices['prices'] = \"\"\n",
    "\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Pedraces', ['prices']] = 62.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Passo Oclini', ['prices']] =  20.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Braies Vecchia', ['prices']] = 61.00 \n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Seceda', ['prices']] = 62.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Antermoia', ['prices']] = 50.00 \n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Obereggen', ['prices']] = 55.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Alpe di Siusi', ['prices']] = 62.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'S. Vigilio di Marebbe', ['prices']] = 62.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Baranci', ['prices']] = 61.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Gardenaccia', ['prices']] = 62.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Filler', ['prices']] = 50.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Pietralba', ['prices']] = 50.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Panorama', ['prices']] = 55.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Carezza', ['prices']] = 52.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Castelrotto', ['prices']] = 50.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Corvara-Badia', ['prices']] = 62.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Sesto-Monte Elmo-Prati di Croda Rossa', ['prices']] = 61.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Plan de corones', ['prices']] = 62.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Nova Ponente', ['prices']] = 55.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Monte Pana-Ciampinoi-Passo Sella', ['prices']] = 62.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Rienza', ['prices']] = 37.50\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Danterceppies-Passo Gardena', ['prices']] = 62.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Passo Monte Croce Comelico', ['prices']] = 61.00\n",
    "ski_slopes_BZ_clipped_prices.loc[ski_slopes_BZ_clipped_prices['NAME_IT'] == 'Keil', ['prices']] = 62.00\n",
    "\n",
    "\n",
    "ski_slopes_BZ_clipped_prices"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "Visualize ski resorts (ski slopes colored by `NAME_IT` shapes):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 2160x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "base = area_dolomiti_BZ.plot(\n",
    "    figsize=(30,30),\n",
    "    edgecolor=\"k\",\n",
    "    lw=0.1\n",
    ")\n",
    "\n",
    "ski_slopes_BZ_clipped.plot(\n",
    "    ax=base,\n",
    "    column='NAME_IT',\n",
    "    cmap='Set1',\n",
    "\n",
    ")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since each price refers to the whole resort area, let's group each ski slopes based on `NAME_IT` (ski resort name) and dissolve their borders:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "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>geometry</th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>SKIKEY</th>\n",
       "      <th>PLR</th>\n",
       "      <th>SKIZONE</th>\n",
       "      <th>NAME_DE</th>\n",
       "      <th>PERIMETER</th>\n",
       "      <th>AREA</th>\n",
       "      <th>SHAPE</th>\n",
       "      <th>prices</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NAME_IT</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",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Alpe di Siusi</th>\n",
       "      <td>MULTIPOLYGON (((11.66971 46.53198, 11.66919 46...</td>\n",
       "      <td>19831.0</td>\n",
       "      <td>10.02</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Seiseralm</td>\n",
       "      <td>326.37</td>\n",
       "      <td>5589.98</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Antermoia</th>\n",
       "      <td>POLYGON ((11.84702 46.69042, 11.84707 46.69051...</td>\n",
       "      <td>19750.0</td>\n",
       "      <td>14.03</td>\n",
       "      <td>14.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Untermoi</td>\n",
       "      <td>5621.42</td>\n",
       "      <td>83493.85</td>\n",
       "      <td>None</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Baranci</th>\n",
       "      <td>POLYGON ((12.27616 46.72718, 12.27610 46.72731...</td>\n",
       "      <td>19749.0</td>\n",
       "      <td>16.02</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Haunold</td>\n",
       "      <td>8475.58</td>\n",
       "      <td>288835.86</td>\n",
       "      <td>None</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Braies Vecchia</th>\n",
       "      <td>POLYGON ((12.15511 46.70515, 12.15518 46.70526...</td>\n",
       "      <td>19759.0</td>\n",
       "      <td>16.03</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Altprags</td>\n",
       "      <td>8392.11</td>\n",
       "      <td>273267.47</td>\n",
       "      <td>None</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Carezza</th>\n",
       "      <td>MULTIPOLYGON (((11.59744 46.39939, 11.59751 46...</td>\n",
       "      <td>19781.0</td>\n",
       "      <td>09.01</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Karerpass</td>\n",
       "      <td>2091.76</td>\n",
       "      <td>26603.43</td>\n",
       "      <td>None</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Castelrotto</th>\n",
       "      <td>POLYGON ((11.56257 46.56681, 11.56264 46.56687...</td>\n",
       "      <td>19783.0</td>\n",
       "      <td>10.01</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Kastelruth</td>\n",
       "      <td>8158.88</td>\n",
       "      <td>179288.20</td>\n",
       "      <td>None</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Corvara-Badia</th>\n",
       "      <td>MULTIPOLYGON (((11.98200 46.55962, 11.98200 46...</td>\n",
       "      <td>19756.0</td>\n",
       "      <td>15.01</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Corvara-Abtei</td>\n",
       "      <td>142191.11</td>\n",
       "      <td>2925931.80</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Danterceppies-Passo Gardena</th>\n",
       "      <td>MULTIPOLYGON (((11.76280 46.55377, 11.76281 46...</td>\n",
       "      <td>19779.0</td>\n",
       "      <td>10.05</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Danterceppies-Grödnerjoch</td>\n",
       "      <td>3272.85</td>\n",
       "      <td>99036.51</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Filler</th>\n",
       "      <td>POLYGON ((11.71259 46.64121, 11.71356 46.64119...</td>\n",
       "      <td>19763.0</td>\n",
       "      <td>11.13</td>\n",
       "      <td>11.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Filler</td>\n",
       "      <td>2707.28</td>\n",
       "      <td>186099.19</td>\n",
       "      <td>None</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gardenaccia</th>\n",
       "      <td>POLYGON ((11.90042 46.59897, 11.90058 46.59899...</td>\n",
       "      <td>19761.0</td>\n",
       "      <td>15.02</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Gardenaccia</td>\n",
       "      <td>10772.65</td>\n",
       "      <td>231688.60</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Keil</th>\n",
       "      <td>POLYGON ((12.03985 46.74747, 12.03977 46.74756...</td>\n",
       "      <td>19790.0</td>\n",
       "      <td>14.14</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>Keil</td>\n",
       "      <td>1774.04</td>\n",
       "      <td>37716.23</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monte Pana-Ciampinoi-Passo Sella</th>\n",
       "      <td>MULTIPOLYGON (((11.73312 46.55774, 11.73305 46...</td>\n",
       "      <td>19772.0</td>\n",
       "      <td>10.04</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Monte Pana-Ciampinoi-Sellajoch</td>\n",
       "      <td>88400.40</td>\n",
       "      <td>3107152.55</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nova Ponente</th>\n",
       "      <td>POLYGON ((11.44238 46.40267, 11.44245 46.40265...</td>\n",
       "      <td>19821.0</td>\n",
       "      <td>09.11</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Deutschnofen</td>\n",
       "      <td>1278.57</td>\n",
       "      <td>27610.65</td>\n",
       "      <td>None</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Obereggen</th>\n",
       "      <td>POLYGON ((11.54576 46.35155, 11.54599 46.35167...</td>\n",
       "      <td>19815.0</td>\n",
       "      <td>09.02</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Obereggen</td>\n",
       "      <td>34349.71</td>\n",
       "      <td>1025846.14</td>\n",
       "      <td>None</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Panorama</th>\n",
       "      <td>POLYGON ((11.38559 46.39309, 11.38553 46.39312...</td>\n",
       "      <td>19801.0</td>\n",
       "      <td>09.12</td>\n",
       "      <td>9.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>Panorama</td>\n",
       "      <td>1613.21</td>\n",
       "      <td>71155.02</td>\n",
       "      <td>None</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Passo Monte Croce Comelico</th>\n",
       "      <td>POLYGON ((12.41464 46.65149, 12.41498 46.65177...</td>\n",
       "      <td>19775.0</td>\n",
       "      <td>16.05</td>\n",
       "      <td>16.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Kreuzbergpass</td>\n",
       "      <td>5930.97</td>\n",
       "      <td>90844.16</td>\n",
       "      <td>None</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Passo Oclini</th>\n",
       "      <td>POLYGON ((11.45535 46.34220, 11.45539 46.34225...</td>\n",
       "      <td>19814.0</td>\n",
       "      <td>09.03</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Jochgrimm</td>\n",
       "      <td>10268.23</td>\n",
       "      <td>263014.59</td>\n",
       "      <td>None</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pedraces</th>\n",
       "      <td>POLYGON ((11.93666 46.61448, 11.93667 46.61449...</td>\n",
       "      <td>19776.0</td>\n",
       "      <td>15.03</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Pedraces</td>\n",
       "      <td>8896.88</td>\n",
       "      <td>209297.22</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pietralba</th>\n",
       "      <td>POLYGON ((11.40464 46.38949, 11.40526 46.38964...</td>\n",
       "      <td>19797.0</td>\n",
       "      <td>09.13</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Weissenstein</td>\n",
       "      <td>3254.14</td>\n",
       "      <td>31874.84</td>\n",
       "      <td>None</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plan de corones</th>\n",
       "      <td>MULTIPOLYGON (((11.95996 46.72184, 11.95999 46...</td>\n",
       "      <td>19762.0</td>\n",
       "      <td>14.01</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Kronplatz</td>\n",
       "      <td>1494.77</td>\n",
       "      <td>80420.69</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rienza</th>\n",
       "      <td>POLYGON ((12.20324 46.72429, 12.20252 46.72765...</td>\n",
       "      <td>19748.0</td>\n",
       "      <td>16.04</td>\n",
       "      <td>16.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Rienz</td>\n",
       "      <td>3354.86</td>\n",
       "      <td>96469.58</td>\n",
       "      <td>None</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S. Vigilio di Marebbe</th>\n",
       "      <td>POLYGON ((11.90765 46.69795, 11.90761 46.69793...</td>\n",
       "      <td>19752.0</td>\n",
       "      <td>14.02</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>St. Vigil</td>\n",
       "      <td>11830.41</td>\n",
       "      <td>337659.22</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seceda</th>\n",
       "      <td>MULTIPOLYGON (((11.73348 46.56130, 11.73358 46...</td>\n",
       "      <td>19785.0</td>\n",
       "      <td>10.03</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Seceda</td>\n",
       "      <td>726.77</td>\n",
       "      <td>11927.91</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sesto-Monte Elmo-Prati di Croda Rossa</th>\n",
       "      <td>MULTIPOLYGON (((12.35384 46.69666, 12.35388 46...</td>\n",
       "      <td>19773.0</td>\n",
       "      <td>16.01</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Sexten-Helm-Rotwandwiesen</td>\n",
       "      <td>1908.97</td>\n",
       "      <td>87207.24</td>\n",
       "      <td>None</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                geometry  \\\n",
       "NAME_IT                                                                                    \n",
       "Alpe di Siusi                          MULTIPOLYGON (((11.66971 46.53198, 11.66919 46...   \n",
       "Antermoia                              POLYGON ((11.84702 46.69042, 11.84707 46.69051...   \n",
       "Baranci                                POLYGON ((12.27616 46.72718, 12.27610 46.72731...   \n",
       "Braies Vecchia                         POLYGON ((12.15511 46.70515, 12.15518 46.70526...   \n",
       "Carezza                                MULTIPOLYGON (((11.59744 46.39939, 11.59751 46...   \n",
       "Castelrotto                            POLYGON ((11.56257 46.56681, 11.56264 46.56687...   \n",
       "Corvara-Badia                          MULTIPOLYGON (((11.98200 46.55962, 11.98200 46...   \n",
       "Danterceppies-Passo Gardena            MULTIPOLYGON (((11.76280 46.55377, 11.76281 46...   \n",
       "Filler                                 POLYGON ((11.71259 46.64121, 11.71356 46.64119...   \n",
       "Gardenaccia                            POLYGON ((11.90042 46.59897, 11.90058 46.59899...   \n",
       "Keil                                   POLYGON ((12.03985 46.74747, 12.03977 46.74756...   \n",
       "Monte Pana-Ciampinoi-Passo Sella       MULTIPOLYGON (((11.73312 46.55774, 11.73305 46...   \n",
       "Nova Ponente                           POLYGON ((11.44238 46.40267, 11.44245 46.40265...   \n",
       "Obereggen                              POLYGON ((11.54576 46.35155, 11.54599 46.35167...   \n",
       "Panorama                               POLYGON ((11.38559 46.39309, 11.38553 46.39312...   \n",
       "Passo Monte Croce Comelico             POLYGON ((12.41464 46.65149, 12.41498 46.65177...   \n",
       "Passo Oclini                           POLYGON ((11.45535 46.34220, 11.45539 46.34225...   \n",
       "Pedraces                               POLYGON ((11.93666 46.61448, 11.93667 46.61449...   \n",
       "Pietralba                              POLYGON ((11.40464 46.38949, 11.40526 46.38964...   \n",
       "Plan de corones                        MULTIPOLYGON (((11.95996 46.72184, 11.95999 46...   \n",
       "Rienza                                 POLYGON ((12.20324 46.72429, 12.20252 46.72765...   \n",
       "S. Vigilio di Marebbe                  POLYGON ((11.90765 46.69795, 11.90761 46.69793...   \n",
       "Seceda                                 MULTIPOLYGON (((11.73348 46.56130, 11.73358 46...   \n",
       "Sesto-Monte Elmo-Prati di Croda Rossa  MULTIPOLYGON (((12.35384 46.69666, 12.35388 46...   \n",
       "\n",
       "                                       OBJECTID SKIKEY   PLR  SKIZONE  \\\n",
       "NAME_IT                                                                 \n",
       "Alpe di Siusi                           19831.0  10.02  10.0      2.0   \n",
       "Antermoia                               19750.0  14.03  14.0      3.0   \n",
       "Baranci                                 19749.0  16.02  16.0      2.0   \n",
       "Braies Vecchia                          19759.0  16.03  16.0      3.0   \n",
       "Carezza                                 19781.0  09.01   9.0      1.0   \n",
       "Castelrotto                             19783.0  10.01  10.0      1.0   \n",
       "Corvara-Badia                           19756.0  15.01  15.0      1.0   \n",
       "Danterceppies-Passo Gardena             19779.0  10.05  10.0      5.0   \n",
       "Filler                                  19763.0  11.13  11.0     13.0   \n",
       "Gardenaccia                             19761.0  15.02  15.0      2.0   \n",
       "Keil                                    19790.0  14.14  14.0     14.0   \n",
       "Monte Pana-Ciampinoi-Passo Sella        19772.0  10.04  10.0      4.0   \n",
       "Nova Ponente                            19821.0  09.11   9.0     11.0   \n",
       "Obereggen                               19815.0  09.02   9.0      2.0   \n",
       "Panorama                                19801.0  09.12   9.0     12.0   \n",
       "Passo Monte Croce Comelico              19775.0  16.05  16.0      5.0   \n",
       "Passo Oclini                            19814.0  09.03   9.0      3.0   \n",
       "Pedraces                                19776.0  15.03  15.0      3.0   \n",
       "Pietralba                               19797.0  09.13   9.0     13.0   \n",
       "Plan de corones                         19762.0  14.01  14.0      1.0   \n",
       "Rienza                                  19748.0  16.04  16.0      4.0   \n",
       "S. Vigilio di Marebbe                   19752.0  14.02  14.0      2.0   \n",
       "Seceda                                  19785.0  10.03  10.0      3.0   \n",
       "Sesto-Monte Elmo-Prati di Croda Rossa   19773.0  16.01  16.0      1.0   \n",
       "\n",
       "                                                              NAME_DE  \\\n",
       "NAME_IT                                                                 \n",
       "Alpe di Siusi                                               Seiseralm   \n",
       "Antermoia                                                    Untermoi   \n",
       "Baranci                                                       Haunold   \n",
       "Braies Vecchia                                               Altprags   \n",
       "Carezza                                                     Karerpass   \n",
       "Castelrotto                                                Kastelruth   \n",
       "Corvara-Badia                                           Corvara-Abtei   \n",
       "Danterceppies-Passo Gardena                 Danterceppies-Grödnerjoch   \n",
       "Filler                                                         Filler   \n",
       "Gardenaccia                                               Gardenaccia   \n",
       "Keil                                                             Keil   \n",
       "Monte Pana-Ciampinoi-Passo Sella       Monte Pana-Ciampinoi-Sellajoch   \n",
       "Nova Ponente                                             Deutschnofen   \n",
       "Obereggen                                                   Obereggen   \n",
       "Panorama                                                     Panorama   \n",
       "Passo Monte Croce Comelico                              Kreuzbergpass   \n",
       "Passo Oclini                                                Jochgrimm   \n",
       "Pedraces                                                     Pedraces   \n",
       "Pietralba                                                Weissenstein   \n",
       "Plan de corones                                             Kronplatz   \n",
       "Rienza                                                          Rienz   \n",
       "S. Vigilio di Marebbe                                       St. Vigil   \n",
       "Seceda                                                         Seceda   \n",
       "Sesto-Monte Elmo-Prati di Croda Rossa       Sexten-Helm-Rotwandwiesen   \n",
       "\n",
       "                                       PERIMETER        AREA SHAPE  prices  \n",
       "NAME_IT                                                                     \n",
       "Alpe di Siusi                             326.37     5589.98  None    62.0  \n",
       "Antermoia                                5621.42    83493.85  None    50.0  \n",
       "Baranci                                  8475.58   288835.86  None    61.0  \n",
       "Braies Vecchia                           8392.11   273267.47  None    61.0  \n",
       "Carezza                                  2091.76    26603.43  None    52.0  \n",
       "Castelrotto                              8158.88   179288.20  None    50.0  \n",
       "Corvara-Badia                          142191.11  2925931.80  None    62.0  \n",
       "Danterceppies-Passo Gardena              3272.85    99036.51  None    62.0  \n",
       "Filler                                   2707.28   186099.19  None    50.0  \n",
       "Gardenaccia                             10772.65   231688.60  None    62.0  \n",
       "Keil                                     1774.04    37716.23  None    62.0  \n",
       "Monte Pana-Ciampinoi-Passo Sella        88400.40  3107152.55  None    62.0  \n",
       "Nova Ponente                             1278.57    27610.65  None    55.0  \n",
       "Obereggen                               34349.71  1025846.14  None    55.0  \n",
       "Panorama                                 1613.21    71155.02  None    55.0  \n",
       "Passo Monte Croce Comelico               5930.97    90844.16  None    61.0  \n",
       "Passo Oclini                            10268.23   263014.59  None    20.0  \n",
       "Pedraces                                 8896.88   209297.22  None    62.0  \n",
       "Pietralba                                3254.14    31874.84  None    50.0  \n",
       "Plan de corones                          1494.77    80420.69  None    62.0  \n",
       "Rienza                                   3354.86    96469.58  None    37.5  \n",
       "S. Vigilio di Marebbe                   11830.41   337659.22  None    62.0  \n",
       "Seceda                                    726.77    11927.91  None    62.0  \n",
       "Sesto-Monte Elmo-Prati di Croda Rossa    1908.97    87207.24  None    61.0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ski_slopes_BZ_clipped_dissolved = ski_slopes_BZ_clipped.to_crs(epsg=4326).dissolve(by='NAME_IT')\n",
    "ski_slopes_BZ_clipped_dissolved"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ricalculate ski resort areas:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>geometry</th>\n",
       "      <th>OBJECTID</th>\n",
       "      <th>SKIKEY</th>\n",
       "      <th>PLR</th>\n",
       "      <th>SKIZONE</th>\n",
       "      <th>NAME_DE</th>\n",
       "      <th>PERIMETER</th>\n",
       "      <th>AREA</th>\n",
       "      <th>SHAPE</th>\n",
       "      <th>prices</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NAME_IT</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",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Alpe di Siusi</th>\n",
       "      <td>MULTIPOLYGON (((11.66971 46.53198, 11.66919 46...</td>\n",
       "      <td>19831.0</td>\n",
       "      <td>10.02</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Seiseralm</td>\n",
       "      <td>326.37</td>\n",
       "      <td>2.661013e+06</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Antermoia</th>\n",
       "      <td>POLYGON ((11.84702 46.69042, 11.84707 46.69051...</td>\n",
       "      <td>19750.0</td>\n",
       "      <td>14.03</td>\n",
       "      <td>14.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Untermoi</td>\n",
       "      <td>5621.42</td>\n",
       "      <td>8.349385e+04</td>\n",
       "      <td>None</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Baranci</th>\n",
       "      <td>POLYGON ((12.27616 46.72718, 12.27610 46.72731...</td>\n",
       "      <td>19749.0</td>\n",
       "      <td>16.02</td>\n",
       "      <td>16.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Haunold</td>\n",
       "      <td>8475.58</td>\n",
       "      <td>2.888359e+05</td>\n",
       "      <td>None</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Braies Vecchia</th>\n",
       "      <td>POLYGON ((12.15511 46.70515, 12.15518 46.70526...</td>\n",
       "      <td>19759.0</td>\n",
       "      <td>16.03</td>\n",
       "      <td>16.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Altprags</td>\n",
       "      <td>8392.11</td>\n",
       "      <td>2.732675e+05</td>\n",
       "      <td>None</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Carezza</th>\n",
       "      <td>MULTIPOLYGON (((11.59744 46.39939, 11.59751 46...</td>\n",
       "      <td>19781.0</td>\n",
       "      <td>09.01</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Karerpass</td>\n",
       "      <td>2091.76</td>\n",
       "      <td>1.518392e+06</td>\n",
       "      <td>None</td>\n",
       "      <td>52.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Castelrotto</th>\n",
       "      <td>POLYGON ((11.56257 46.56681, 11.56264 46.56687...</td>\n",
       "      <td>19783.0</td>\n",
       "      <td>10.01</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Kastelruth</td>\n",
       "      <td>8158.88</td>\n",
       "      <td>1.792882e+05</td>\n",
       "      <td>None</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Corvara-Badia</th>\n",
       "      <td>MULTIPOLYGON (((11.98200 46.55962, 11.98200 46...</td>\n",
       "      <td>19756.0</td>\n",
       "      <td>15.01</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Corvara-Abtei</td>\n",
       "      <td>142191.11</td>\n",
       "      <td>3.020846e+06</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Danterceppies-Passo Gardena</th>\n",
       "      <td>MULTIPOLYGON (((11.76280 46.55377, 11.76281 46...</td>\n",
       "      <td>19779.0</td>\n",
       "      <td>10.05</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Danterceppies-Grödnerjoch</td>\n",
       "      <td>3272.85</td>\n",
       "      <td>1.707596e+06</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Filler</th>\n",
       "      <td>POLYGON ((11.71259 46.64121, 11.71356 46.64119...</td>\n",
       "      <td>19763.0</td>\n",
       "      <td>11.13</td>\n",
       "      <td>11.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Filler</td>\n",
       "      <td>2707.28</td>\n",
       "      <td>1.860992e+05</td>\n",
       "      <td>None</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gardenaccia</th>\n",
       "      <td>POLYGON ((11.90042 46.59897, 11.90058 46.59899...</td>\n",
       "      <td>19761.0</td>\n",
       "      <td>15.02</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Gardenaccia</td>\n",
       "      <td>10772.65</td>\n",
       "      <td>2.316886e+05</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Keil</th>\n",
       "      <td>POLYGON ((12.03985 46.74747, 12.03977 46.74756...</td>\n",
       "      <td>19790.0</td>\n",
       "      <td>14.14</td>\n",
       "      <td>14.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>Keil</td>\n",
       "      <td>1774.04</td>\n",
       "      <td>3.771623e+04</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monte Pana-Ciampinoi-Passo Sella</th>\n",
       "      <td>MULTIPOLYGON (((11.73312 46.55774, 11.73305 46...</td>\n",
       "      <td>19772.0</td>\n",
       "      <td>10.04</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Monte Pana-Ciampinoi-Sellajoch</td>\n",
       "      <td>88400.40</td>\n",
       "      <td>3.292461e+06</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nova Ponente</th>\n",
       "      <td>POLYGON ((11.44238 46.40267, 11.44245 46.40265...</td>\n",
       "      <td>19821.0</td>\n",
       "      <td>09.11</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>Deutschnofen</td>\n",
       "      <td>1278.57</td>\n",
       "      <td>2.761065e+04</td>\n",
       "      <td>None</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Obereggen</th>\n",
       "      <td>POLYGON ((11.54576 46.35155, 11.54599 46.35167...</td>\n",
       "      <td>19815.0</td>\n",
       "      <td>09.02</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>Obereggen</td>\n",
       "      <td>34349.71</td>\n",
       "      <td>9.916352e+05</td>\n",
       "      <td>None</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Panorama</th>\n",
       "      <td>POLYGON ((11.38559 46.39309, 11.38553 46.39312...</td>\n",
       "      <td>19801.0</td>\n",
       "      <td>09.12</td>\n",
       "      <td>9.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>Panorama</td>\n",
       "      <td>1613.21</td>\n",
       "      <td>7.115502e+04</td>\n",
       "      <td>None</td>\n",
       "      <td>55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Passo Monte Croce Comelico</th>\n",
       "      <td>POLYGON ((12.41464 46.65149, 12.41498 46.65177...</td>\n",
       "      <td>19775.0</td>\n",
       "      <td>16.05</td>\n",
       "      <td>16.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Kreuzbergpass</td>\n",
       "      <td>5930.97</td>\n",
       "      <td>9.001340e+04</td>\n",
       "      <td>None</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Passo Oclini</th>\n",
       "      <td>POLYGON ((11.45535 46.34220, 11.45539 46.34225...</td>\n",
       "      <td>19814.0</td>\n",
       "      <td>09.03</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Jochgrimm</td>\n",
       "      <td>10268.23</td>\n",
       "      <td>2.630146e+05</td>\n",
       "      <td>None</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pedraces</th>\n",
       "      <td>POLYGON ((11.93666 46.61448, 11.93667 46.61449...</td>\n",
       "      <td>19776.0</td>\n",
       "      <td>15.03</td>\n",
       "      <td>15.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Pedraces</td>\n",
       "      <td>8896.88</td>\n",
       "      <td>2.092972e+05</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pietralba</th>\n",
       "      <td>POLYGON ((11.40464 46.38949, 11.40526 46.38964...</td>\n",
       "      <td>19797.0</td>\n",
       "      <td>09.13</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>Weissenstein</td>\n",
       "      <td>3254.14</td>\n",
       "      <td>3.187484e+04</td>\n",
       "      <td>None</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plan de corones</th>\n",
       "      <td>MULTIPOLYGON (((11.95996 46.72184, 11.95999 46...</td>\n",
       "      <td>19762.0</td>\n",
       "      <td>14.01</td>\n",
       "      <td>14.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Kronplatz</td>\n",
       "      <td>1494.77</td>\n",
       "      <td>3.004087e+06</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rienza</th>\n",
       "      <td>POLYGON ((12.20324 46.72429, 12.20252 46.72765...</td>\n",
       "      <td>19748.0</td>\n",
       "      <td>16.04</td>\n",
       "      <td>16.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Rienz</td>\n",
       "      <td>3354.86</td>\n",
       "      <td>9.646958e+04</td>\n",
       "      <td>None</td>\n",
       "      <td>37.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S. Vigilio di Marebbe</th>\n",
       "      <td>POLYGON ((11.90765 46.69795, 11.90761 46.69793...</td>\n",
       "      <td>19752.0</td>\n",
       "      <td>14.02</td>\n",
       "      <td>14.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>St. Vigil</td>\n",
       "      <td>11830.41</td>\n",
       "      <td>3.376592e+05</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seceda</th>\n",
       "      <td>MULTIPOLYGON (((11.73348 46.56130, 11.73358 46...</td>\n",
       "      <td>19785.0</td>\n",
       "      <td>10.03</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Seceda</td>\n",
       "      <td>726.77</td>\n",
       "      <td>1.602603e+06</td>\n",
       "      <td>None</td>\n",
       "      <td>62.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sesto-Monte Elmo-Prati di Croda Rossa</th>\n",
       "      <td>MULTIPOLYGON (((12.35384 46.69666, 12.35388 46...</td>\n",
       "      <td>19773.0</td>\n",
       "      <td>16.01</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Sexten-Helm-Rotwandwiesen</td>\n",
       "      <td>1908.97</td>\n",
       "      <td>1.647599e+06</td>\n",
       "      <td>None</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                geometry  \\\n",
       "NAME_IT                                                                                    \n",
       "Alpe di Siusi                          MULTIPOLYGON (((11.66971 46.53198, 11.66919 46...   \n",
       "Antermoia                              POLYGON ((11.84702 46.69042, 11.84707 46.69051...   \n",
       "Baranci                                POLYGON ((12.27616 46.72718, 12.27610 46.72731...   \n",
       "Braies Vecchia                         POLYGON ((12.15511 46.70515, 12.15518 46.70526...   \n",
       "Carezza                                MULTIPOLYGON (((11.59744 46.39939, 11.59751 46...   \n",
       "Castelrotto                            POLYGON ((11.56257 46.56681, 11.56264 46.56687...   \n",
       "Corvara-Badia                          MULTIPOLYGON (((11.98200 46.55962, 11.98200 46...   \n",
       "Danterceppies-Passo Gardena            MULTIPOLYGON (((11.76280 46.55377, 11.76281 46...   \n",
       "Filler                                 POLYGON ((11.71259 46.64121, 11.71356 46.64119...   \n",
       "Gardenaccia                            POLYGON ((11.90042 46.59897, 11.90058 46.59899...   \n",
       "Keil                                   POLYGON ((12.03985 46.74747, 12.03977 46.74756...   \n",
       "Monte Pana-Ciampinoi-Passo Sella       MULTIPOLYGON (((11.73312 46.55774, 11.73305 46...   \n",
       "Nova Ponente                           POLYGON ((11.44238 46.40267, 11.44245 46.40265...   \n",
       "Obereggen                              POLYGON ((11.54576 46.35155, 11.54599 46.35167...   \n",
       "Panorama                               POLYGON ((11.38559 46.39309, 11.38553 46.39312...   \n",
       "Passo Monte Croce Comelico             POLYGON ((12.41464 46.65149, 12.41498 46.65177...   \n",
       "Passo Oclini                           POLYGON ((11.45535 46.34220, 11.45539 46.34225...   \n",
       "Pedraces                               POLYGON ((11.93666 46.61448, 11.93667 46.61449...   \n",
       "Pietralba                              POLYGON ((11.40464 46.38949, 11.40526 46.38964...   \n",
       "Plan de corones                        MULTIPOLYGON (((11.95996 46.72184, 11.95999 46...   \n",
       "Rienza                                 POLYGON ((12.20324 46.72429, 12.20252 46.72765...   \n",
       "S. Vigilio di Marebbe                  POLYGON ((11.90765 46.69795, 11.90761 46.69793...   \n",
       "Seceda                                 MULTIPOLYGON (((11.73348 46.56130, 11.73358 46...   \n",
       "Sesto-Monte Elmo-Prati di Croda Rossa  MULTIPOLYGON (((12.35384 46.69666, 12.35388 46...   \n",
       "\n",
       "                                       OBJECTID SKIKEY   PLR  SKIZONE  \\\n",
       "NAME_IT                                                                 \n",
       "Alpe di Siusi                           19831.0  10.02  10.0      2.0   \n",
       "Antermoia                               19750.0  14.03  14.0      3.0   \n",
       "Baranci                                 19749.0  16.02  16.0      2.0   \n",
       "Braies Vecchia                          19759.0  16.03  16.0      3.0   \n",
       "Carezza                                 19781.0  09.01   9.0      1.0   \n",
       "Castelrotto                             19783.0  10.01  10.0      1.0   \n",
       "Corvara-Badia                           19756.0  15.01  15.0      1.0   \n",
       "Danterceppies-Passo Gardena             19779.0  10.05  10.0      5.0   \n",
       "Filler                                  19763.0  11.13  11.0     13.0   \n",
       "Gardenaccia                             19761.0  15.02  15.0      2.0   \n",
       "Keil                                    19790.0  14.14  14.0     14.0   \n",
       "Monte Pana-Ciampinoi-Passo Sella        19772.0  10.04  10.0      4.0   \n",
       "Nova Ponente                            19821.0  09.11   9.0     11.0   \n",
       "Obereggen                               19815.0  09.02   9.0      2.0   \n",
       "Panorama                                19801.0  09.12   9.0     12.0   \n",
       "Passo Monte Croce Comelico              19775.0  16.05  16.0      5.0   \n",
       "Passo Oclini                            19814.0  09.03   9.0      3.0   \n",
       "Pedraces                                19776.0  15.03  15.0      3.0   \n",
       "Pietralba                               19797.0  09.13   9.0     13.0   \n",
       "Plan de corones                         19762.0  14.01  14.0      1.0   \n",
       "Rienza                                  19748.0  16.04  16.0      4.0   \n",
       "S. Vigilio di Marebbe                   19752.0  14.02  14.0      2.0   \n",
       "Seceda                                  19785.0  10.03  10.0      3.0   \n",
       "Sesto-Monte Elmo-Prati di Croda Rossa   19773.0  16.01  16.0      1.0   \n",
       "\n",
       "                                                              NAME_DE  \\\n",
       "NAME_IT                                                                 \n",
       "Alpe di Siusi                                               Seiseralm   \n",
       "Antermoia                                                    Untermoi   \n",
       "Baranci                                                       Haunold   \n",
       "Braies Vecchia                                               Altprags   \n",
       "Carezza                                                     Karerpass   \n",
       "Castelrotto                                                Kastelruth   \n",
       "Corvara-Badia                                           Corvara-Abtei   \n",
       "Danterceppies-Passo Gardena                 Danterceppies-Grödnerjoch   \n",
       "Filler                                                         Filler   \n",
       "Gardenaccia                                               Gardenaccia   \n",
       "Keil                                                             Keil   \n",
       "Monte Pana-Ciampinoi-Passo Sella       Monte Pana-Ciampinoi-Sellajoch   \n",
       "Nova Ponente                                             Deutschnofen   \n",
       "Obereggen                                                   Obereggen   \n",
       "Panorama                                                     Panorama   \n",
       "Passo Monte Croce Comelico                              Kreuzbergpass   \n",
       "Passo Oclini                                                Jochgrimm   \n",
       "Pedraces                                                     Pedraces   \n",
       "Pietralba                                                Weissenstein   \n",
       "Plan de corones                                             Kronplatz   \n",
       "Rienza                                                          Rienz   \n",
       "S. Vigilio di Marebbe                                       St. Vigil   \n",
       "Seceda                                                         Seceda   \n",
       "Sesto-Monte Elmo-Prati di Croda Rossa       Sexten-Helm-Rotwandwiesen   \n",
       "\n",
       "                                       PERIMETER          AREA SHAPE  prices  \n",
       "NAME_IT                                                                       \n",
       "Alpe di Siusi                             326.37  2.661013e+06  None    62.0  \n",
       "Antermoia                                5621.42  8.349385e+04  None    50.0  \n",
       "Baranci                                  8475.58  2.888359e+05  None    61.0  \n",
       "Braies Vecchia                           8392.11  2.732675e+05  None    61.0  \n",
       "Carezza                                  2091.76  1.518392e+06  None    52.0  \n",
       "Castelrotto                              8158.88  1.792882e+05  None    50.0  \n",
       "Corvara-Badia                          142191.11  3.020846e+06  None    62.0  \n",
       "Danterceppies-Passo Gardena              3272.85  1.707596e+06  None    62.0  \n",
       "Filler                                   2707.28  1.860992e+05  None    50.0  \n",
       "Gardenaccia                             10772.65  2.316886e+05  None    62.0  \n",
       "Keil                                     1774.04  3.771623e+04  None    62.0  \n",
       "Monte Pana-Ciampinoi-Passo Sella        88400.40  3.292461e+06  None    62.0  \n",
       "Nova Ponente                             1278.57  2.761065e+04  None    55.0  \n",
       "Obereggen                               34349.71  9.916352e+05  None    55.0  \n",
       "Panorama                                 1613.21  7.115502e+04  None    55.0  \n",
       "Passo Monte Croce Comelico               5930.97  9.001340e+04  None    61.0  \n",
       "Passo Oclini                            10268.23  2.630146e+05  None    20.0  \n",
       "Pedraces                                 8896.88  2.092972e+05  None    62.0  \n",
       "Pietralba                                3254.14  3.187484e+04  None    50.0  \n",
       "Plan de corones                          1494.77  3.004087e+06  None    62.0  \n",
       "Rienza                                   3354.86  9.646958e+04  None    37.5  \n",
       "S. Vigilio di Marebbe                   11830.41  3.376592e+05  None    62.0  \n",
       "Seceda                                    726.77  1.602603e+06  None    62.0  \n",
       "Sesto-Monte Elmo-Prati di Croda Rossa    1908.97  1.647599e+06  None    61.0  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ski_slopes_BZ_clipped_dissolved= ski_slopes_BZ_clipped_dissolved.to_crs(epsg=32632)\n",
    "ski_slopes_BZ_clipped_dissolved[\"AREA\"] = ski_slopes_BZ_clipped_dissolved['geometry'].area\n",
    "ski_slopes_BZ_clipped_dissolved = ski_slopes_BZ_clipped_dissolved.to_crs(epsg=4326)\n",
    "ski_slopes_BZ_clipped_dissolved"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate each resort representative point:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "ski_slopes_BZ_clipped_dissolved[\"repr_point\"] = ski_slopes_BZ_clipped_dissolved.to_crs(epsg=32632).representative_point()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Update the geometry with the representative points coordinates:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "ski_slopes_BZ_clipped_dissolved = ski_slopes_BZ_clipped_dissolved.drop(columns=['geometry'])\n",
    "ski_slopes_BZ_clipped_dissolved = ski_slopes_BZ_clipped_dissolved.set_geometry('repr_point').rename_geometry('geometry')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "base = area_dolomiti_BZ.plot(\n",
    "    figsize=(15,15),\n",
    "    color=\"black\",\n",
    "    edgecolor=\"k\",\n",
    "    alpha=0.5,\n",
    "    lw=0.1\n",
    ")\n",
    "ski_slopes_BZ_clipped_dissolved.to_crs(epsg=4326).plot(ax=base)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Drop unuseful column (for the spatial statistics analysis purposes) and save the GeoDataFrame:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "ski_slopes_BZ_clipped_dissolved.drop(columns=['SKIKEY', 'PLR', 'SKIZONE', 'PERIMETER', 'SHAPE'], inplace=True)\n",
    "ski_slopes_BZ_clipped_dissolved = ski_slopes_BZ_clipped_dissolved.to_crs(epsg=4326)\n",
    "if not os.path.exists('data/ski_slopes_BZ_dissolved'):\n",
    "    os.mkdir(\"data/ski_slopes_BZ_dissolved\")\n",
    "    ski_slopes_BZ_clipped_dissolved.to_file('data/ski_slopes_BZ_dissolved/ski_slopes_BZ_dissolved.shp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>OBJECTID</th>\n",
       "      <th>NAME_DE</th>\n",
       "      <th>AREA</th>\n",
       "      <th>prices</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NAME_IT</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>Alpe di Siusi</th>\n",
       "      <td>19831.0</td>\n",
       "      <td>Seiseralm</td>\n",
       "      <td>2.661013e+06</td>\n",
       "      <td>62.0</td>\n",
       "      <td>POINT (11.61972 46.54297)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Antermoia</th>\n",
       "      <td>19750.0</td>\n",
       "      <td>Untermoi</td>\n",
       "      <td>8.349385e+04</td>\n",
       "      <td>50.0</td>\n",
       "      <td>POINT (11.84690 46.69019)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Baranci</th>\n",
       "      <td>19749.0</td>\n",
       "      <td>Haunold</td>\n",
       "      <td>2.888359e+05</td>\n",
       "      <td>61.0</td>\n",
       "      <td>POINT (12.27826 46.72175)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Braies Vecchia</th>\n",
       "      <td>19759.0</td>\n",
       "      <td>Altprags</td>\n",
       "      <td>2.732675e+05</td>\n",
       "      <td>61.0</td>\n",
       "      <td>POINT (12.15985 46.69906)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Carezza</th>\n",
       "      <td>19781.0</td>\n",
       "      <td>Karerpass</td>\n",
       "      <td>1.518392e+06</td>\n",
       "      <td>52.0</td>\n",
       "      <td>POINT (11.59219 46.41907)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Castelrotto</th>\n",
       "      <td>19783.0</td>\n",
       "      <td>Kastelruth</td>\n",
       "      <td>1.792882e+05</td>\n",
       "      <td>50.0</td>\n",
       "      <td>POINT (11.57444 46.56293)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Corvara-Badia</th>\n",
       "      <td>19756.0</td>\n",
       "      <td>Corvara-Abtei</td>\n",
       "      <td>3.020846e+06</td>\n",
       "      <td>62.0</td>\n",
       "      <td>POINT (11.91069 46.55113)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Danterceppies-Passo Gardena</th>\n",
       "      <td>19779.0</td>\n",
       "      <td>Danterceppies-Grödnerjoch</td>\n",
       "      <td>1.707596e+06</td>\n",
       "      <td>62.0</td>\n",
       "      <td>POINT (11.85232 46.55691)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Filler</th>\n",
       "      <td>19763.0</td>\n",
       "      <td>Filler</td>\n",
       "      <td>1.860992e+05</td>\n",
       "      <td>50.0</td>\n",
       "      <td>POINT (11.71426 46.63632)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gardenaccia</th>\n",
       "      <td>19761.0</td>\n",
       "      <td>Gardenaccia</td>\n",
       "      <td>2.316886e+05</td>\n",
       "      <td>62.0</td>\n",
       "      <td>POINT (11.89024 46.59145)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Keil</th>\n",
       "      <td>19790.0</td>\n",
       "      <td>Keil</td>\n",
       "      <td>3.771623e+04</td>\n",
       "      <td>62.0</td>\n",
       "      <td>POINT (12.03892 46.74905)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monte Pana-Ciampinoi-Passo Sella</th>\n",
       "      <td>19772.0</td>\n",
       "      <td>Monte Pana-Ciampinoi-Sellajoch</td>\n",
       "      <td>3.292461e+06</td>\n",
       "      <td>62.0</td>\n",
       "      <td>POINT (11.75098 46.53137)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nova Ponente</th>\n",
       "      <td>19821.0</td>\n",
       "      <td>Deutschnofen</td>\n",
       "      <td>2.761065e+04</td>\n",
       "      <td>55.0</td>\n",
       "      <td>POINT (11.44096 46.40411)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Obereggen</th>\n",
       "      <td>19815.0</td>\n",
       "      <td>Obereggen</td>\n",
       "      <td>9.916352e+05</td>\n",
       "      <td>55.0</td>\n",
       "      <td>POINT (11.53855 46.36517)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Panorama</th>\n",
       "      <td>19801.0</td>\n",
       "      <td>Panorama</td>\n",
       "      <td>7.115502e+04</td>\n",
       "      <td>55.0</td>\n",
       "      <td>POINT (11.38763 46.39286)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Passo Monte Croce Comelico</th>\n",
       "      <td>19775.0</td>\n",
       "      <td>Kreuzbergpass</td>\n",
       "      <td>9.001340e+04</td>\n",
       "      <td>61.0</td>\n",
       "      <td>POINT (12.41308 46.66012)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Passo Oclini</th>\n",
       "      <td>19814.0</td>\n",
       "      <td>Jochgrimm</td>\n",
       "      <td>2.630146e+05</td>\n",
       "      <td>20.0</td>\n",
       "      <td>POINT (11.45346 46.34506)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pedraces</th>\n",
       "      <td>19776.0</td>\n",
       "      <td>Pedraces</td>\n",
       "      <td>2.092972e+05</td>\n",
       "      <td>62.0</td>\n",
       "      <td>POINT (11.91837 46.61115)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pietralba</th>\n",
       "      <td>19797.0</td>\n",
       "      <td>Weissenstein</td>\n",
       "      <td>3.187484e+04</td>\n",
       "      <td>50.0</td>\n",
       "      <td>POINT (11.41072 46.39003)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plan de corones</th>\n",
       "      <td>19762.0</td>\n",
       "      <td>Kronplatz</td>\n",
       "      <td>3.004087e+06</td>\n",
       "      <td>62.0</td>\n",
       "      <td>POINT (11.96160 46.73278)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rienza</th>\n",
       "      <td>19748.0</td>\n",
       "      <td>Rienz</td>\n",
       "      <td>9.646958e+04</td>\n",
       "      <td>37.5</td>\n",
       "      <td>POINT (12.20698 46.72470)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S. Vigilio di Marebbe</th>\n",
       "      <td>19752.0</td>\n",
       "      <td>St. Vigil</td>\n",
       "      <td>3.376592e+05</td>\n",
       "      <td>62.0</td>\n",
       "      <td>POINT (11.90611 46.69618)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seceda</th>\n",
       "      <td>19785.0</td>\n",
       "      <td>Seceda</td>\n",
       "      <td>1.602603e+06</td>\n",
       "      <td>62.0</td>\n",
       "      <td>POINT (11.73310 46.56113)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sesto-Monte Elmo-Prati di Croda Rossa</th>\n",
       "      <td>19773.0</td>\n",
       "      <td>Sexten-Helm-Rotwandwiesen</td>\n",
       "      <td>1.647599e+06</td>\n",
       "      <td>61.0</td>\n",
       "      <td>POINT (12.35264 46.69535)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       OBJECTID  \\\n",
       "NAME_IT                                           \n",
       "Alpe di Siusi                           19831.0   \n",
       "Antermoia                               19750.0   \n",
       "Baranci                                 19749.0   \n",
       "Braies Vecchia                          19759.0   \n",
       "Carezza                                 19781.0   \n",
       "Castelrotto                             19783.0   \n",
       "Corvara-Badia                           19756.0   \n",
       "Danterceppies-Passo Gardena             19779.0   \n",
       "Filler                                  19763.0   \n",
       "Gardenaccia                             19761.0   \n",
       "Keil                                    19790.0   \n",
       "Monte Pana-Ciampinoi-Passo Sella        19772.0   \n",
       "Nova Ponente                            19821.0   \n",
       "Obereggen                               19815.0   \n",
       "Panorama                                19801.0   \n",
       "Passo Monte Croce Comelico              19775.0   \n",
       "Passo Oclini                            19814.0   \n",
       "Pedraces                                19776.0   \n",
       "Pietralba                               19797.0   \n",
       "Plan de corones                         19762.0   \n",
       "Rienza                                  19748.0   \n",
       "S. Vigilio di Marebbe                   19752.0   \n",
       "Seceda                                  19785.0   \n",
       "Sesto-Monte Elmo-Prati di Croda Rossa   19773.0   \n",
       "\n",
       "                                                              NAME_DE  \\\n",
       "NAME_IT                                                                 \n",
       "Alpe di Siusi                                               Seiseralm   \n",
       "Antermoia                                                    Untermoi   \n",
       "Baranci                                                       Haunold   \n",
       "Braies Vecchia                                               Altprags   \n",
       "Carezza                                                     Karerpass   \n",
       "Castelrotto                                                Kastelruth   \n",
       "Corvara-Badia                                           Corvara-Abtei   \n",
       "Danterceppies-Passo Gardena                 Danterceppies-Grödnerjoch   \n",
       "Filler                                                         Filler   \n",
       "Gardenaccia                                               Gardenaccia   \n",
       "Keil                                                             Keil   \n",
       "Monte Pana-Ciampinoi-Passo Sella       Monte Pana-Ciampinoi-Sellajoch   \n",
       "Nova Ponente                                             Deutschnofen   \n",
       "Obereggen                                                   Obereggen   \n",
       "Panorama                                                     Panorama   \n",
       "Passo Monte Croce Comelico                              Kreuzbergpass   \n",
       "Passo Oclini                                                Jochgrimm   \n",
       "Pedraces                                                     Pedraces   \n",
       "Pietralba                                                Weissenstein   \n",
       "Plan de corones                                             Kronplatz   \n",
       "Rienza                                                          Rienz   \n",
       "S. Vigilio di Marebbe                                       St. Vigil   \n",
       "Seceda                                                         Seceda   \n",
       "Sesto-Monte Elmo-Prati di Croda Rossa       Sexten-Helm-Rotwandwiesen   \n",
       "\n",
       "                                               AREA  prices  \\\n",
       "NAME_IT                                                       \n",
       "Alpe di Siusi                          2.661013e+06    62.0   \n",
       "Antermoia                              8.349385e+04    50.0   \n",
       "Baranci                                2.888359e+05    61.0   \n",
       "Braies Vecchia                         2.732675e+05    61.0   \n",
       "Carezza                                1.518392e+06    52.0   \n",
       "Castelrotto                            1.792882e+05    50.0   \n",
       "Corvara-Badia                          3.020846e+06    62.0   \n",
       "Danterceppies-Passo Gardena            1.707596e+06    62.0   \n",
       "Filler                                 1.860992e+05    50.0   \n",
       "Gardenaccia                            2.316886e+05    62.0   \n",
       "Keil                                   3.771623e+04    62.0   \n",
       "Monte Pana-Ciampinoi-Passo Sella       3.292461e+06    62.0   \n",
       "Nova Ponente                           2.761065e+04    55.0   \n",
       "Obereggen                              9.916352e+05    55.0   \n",
       "Panorama                               7.115502e+04    55.0   \n",
       "Passo Monte Croce Comelico             9.001340e+04    61.0   \n",
       "Passo Oclini                           2.630146e+05    20.0   \n",
       "Pedraces                               2.092972e+05    62.0   \n",
       "Pietralba                              3.187484e+04    50.0   \n",
       "Plan de corones                        3.004087e+06    62.0   \n",
       "Rienza                                 9.646958e+04    37.5   \n",
       "S. Vigilio di Marebbe                  3.376592e+05    62.0   \n",
       "Seceda                                 1.602603e+06    62.0   \n",
       "Sesto-Monte Elmo-Prati di Croda Rossa  1.647599e+06    61.0   \n",
       "\n",
       "                                                        geometry  \n",
       "NAME_IT                                                           \n",
       "Alpe di Siusi                          POINT (11.61972 46.54297)  \n",
       "Antermoia                              POINT (11.84690 46.69019)  \n",
       "Baranci                                POINT (12.27826 46.72175)  \n",
       "Braies Vecchia                         POINT (12.15985 46.69906)  \n",
       "Carezza                                POINT (11.59219 46.41907)  \n",
       "Castelrotto                            POINT (11.57444 46.56293)  \n",
       "Corvara-Badia                          POINT (11.91069 46.55113)  \n",
       "Danterceppies-Passo Gardena            POINT (11.85232 46.55691)  \n",
       "Filler                                 POINT (11.71426 46.63632)  \n",
       "Gardenaccia                            POINT (11.89024 46.59145)  \n",
       "Keil                                   POINT (12.03892 46.74905)  \n",
       "Monte Pana-Ciampinoi-Passo Sella       POINT (11.75098 46.53137)  \n",
       "Nova Ponente                           POINT (11.44096 46.40411)  \n",
       "Obereggen                              POINT (11.53855 46.36517)  \n",
       "Panorama                               POINT (11.38763 46.39286)  \n",
       "Passo Monte Croce Comelico             POINT (12.41308 46.66012)  \n",
       "Passo Oclini                           POINT (11.45346 46.34506)  \n",
       "Pedraces                               POINT (11.91837 46.61115)  \n",
       "Pietralba                              POINT (11.41072 46.39003)  \n",
       "Plan de corones                        POINT (11.96160 46.73278)  \n",
       "Rienza                                 POINT (12.20698 46.72470)  \n",
       "S. Vigilio di Marebbe                  POINT (11.90611 46.69618)  \n",
       "Seceda                                 POINT (11.73310 46.56113)  \n",
       "Sesto-Monte Elmo-Prati di Croda Rossa  POINT (12.35264 46.69535)  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ski_slopes_BZ_clipped_dissolved"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}