osm-amenity-map.ipynb

{
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   "attachments": {},
   "cell_type": "markdown",
   "id": "f1d605e3-359f-4c74-b939-dd4667216636",
   "metadata": {},
   "source": [
    "# OSM Amenity Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "39eaf4c7-fd9b-4f45-adfe-7b560615ea01",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import shapely.geometry\n",
    "import geopandas as gpd\n",
    "\n",
    "import mapclassify as mc\n",
    "from matplotlib import cm\n",
    "from matplotlib.colors import LinearSegmentedColormap, to_hex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "022975bf-d0e7-4c66-9aa3-8c48cbda736a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>featurecla</th>\n",
       "      <th>scalerank</th>\n",
       "      <th>LABELRANK</th>\n",
       "      <th>SOVEREIGNT</th>\n",
       "      <th>SOV_A3</th>\n",
       "      <th>ADM0_DIF</th>\n",
       "      <th>LEVEL</th>\n",
       "      <th>TYPE</th>\n",
       "      <th>ADMIN</th>\n",
       "      <th>ADM0_A3</th>\n",
       "      <th>...</th>\n",
       "      <th>NAME_KO</th>\n",
       "      <th>NAME_NL</th>\n",
       "      <th>NAME_PL</th>\n",
       "      <th>NAME_PT</th>\n",
       "      <th>NAME_RU</th>\n",
       "      <th>NAME_SV</th>\n",
       "      <th>NAME_TR</th>\n",
       "      <th>NAME_VI</th>\n",
       "      <th>NAME_ZH</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Admin-0 country</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>Indonesia</td>\n",
       "      <td>IDN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Sovereign country</td>\n",
       "      <td>Indonesia</td>\n",
       "      <td>IDN</td>\n",
       "      <td>...</td>\n",
       "      <td>인도네시아</td>\n",
       "      <td>Indonesië</td>\n",
       "      <td>Indonezja</td>\n",
       "      <td>Indonésia</td>\n",
       "      <td>Индонезия</td>\n",
       "      <td>Indonesien</td>\n",
       "      <td>Endonezya</td>\n",
       "      <td>Indonesia</td>\n",
       "      <td>印度尼西亚</td>\n",
       "      <td>MULTIPOLYGON (((117.70361 4.16341, 117.70361 4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Admin-0 country</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>MYS</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Sovereign country</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>MYS</td>\n",
       "      <td>...</td>\n",
       "      <td>말레이시아</td>\n",
       "      <td>Maleisië</td>\n",
       "      <td>Malezja</td>\n",
       "      <td>Malásia</td>\n",
       "      <td>Малайзия</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>Malezya</td>\n",
       "      <td>Malaysia</td>\n",
       "      <td>马来西亚</td>\n",
       "      <td>MULTIPOLYGON (((117.70361 4.16341, 117.69711 4...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 95 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        featurecla  scalerank  LABELRANK SOVEREIGNT SOV_A3  ADM0_DIF  LEVEL  \\\n",
       "0  Admin-0 country          5          2  Indonesia    IDN         0      2   \n",
       "1  Admin-0 country          5          3   Malaysia    MYS         0      2   \n",
       "\n",
       "                TYPE      ADMIN ADM0_A3  ...  NAME_KO    NAME_NL    NAME_PL  \\\n",
       "0  Sovereign country  Indonesia     IDN  ...    인도네시아  Indonesië  Indonezja   \n",
       "1  Sovereign country   Malaysia     MYS  ...    말레이시아   Maleisië    Malezja   \n",
       "\n",
       "     NAME_PT    NAME_RU     NAME_SV    NAME_TR    NAME_VI NAME_ZH  \\\n",
       "0  Indonésia  Индонезия  Indonesien  Endonezya  Indonesia   印度尼西亚   \n",
       "1    Malásia   Малайзия    Malaysia    Malezya   Malaysia    马来西亚   \n",
       "\n",
       "                                            geometry  \n",
       "0  MULTIPOLYGON (((117.70361 4.16341, 117.70361 4...  \n",
       "1  MULTIPOLYGON (((117.70361 4.16341, 117.69711 4...  \n",
       "\n",
       "[2 rows x 95 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#filepath = \"/home/nikolai/data/naturalearth/ne_10m_admin_1_states_provinces.shp\"\n",
    "filepath = \"/home/nikolai/data/naturalearth/ne_10m_admin_0_countries.shp\"\n",
    "\n",
    "gdf = gpd.read_file(filepath)\n",
    "gdf.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "93fa8539-2f6b-40d4-a217-1320941b0e54",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>parking</th>\n",
       "      <th>bench</th>\n",
       "      <th>place_of_worship</th>\n",
       "      <th>restaurant</th>\n",
       "      <th>school</th>\n",
       "      <th>parking_space</th>\n",
       "      <th>fuel</th>\n",
       "      <th>waste_basket</th>\n",
       "      <th>cafe</th>\n",
       "      <th>fast_food</th>\n",
       "      <th>...</th>\n",
       "      <th>car_wash</th>\n",
       "      <th>marketplace</th>\n",
       "      <th>bus_station</th>\n",
       "      <th>college</th>\n",
       "      <th>public_building</th>\n",
       "      <th>university</th>\n",
       "      <th>charging_station</th>\n",
       "      <th>bicycle_rental</th>\n",
       "      <th>veterinary</th>\n",
       "      <th>theatre</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nuts_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "    <tr>\n",
       "      <th>AL</th>\n",
       "      <td>0.000605</td>\n",
       "      <td>0.0004</td>\n",
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       "      <td>0.00002</td>\n",
       "      <td>0.00063</td>\n",
       "      <td>0.000145</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0001</td>\n",
       "      <td>0.000053</td>\n",
       "      <td>0.000035</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>7.027518e-07</td>\n",
       "      <td>0.000038</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AL0</th>\n",
       "      <td>0.000605</td>\n",
       "      <td>0.0004</td>\n",
       "      <td>0.000323</td>\n",
       "      <td>0.000749</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.000018</td>\n",
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       "      <td>0.00002</td>\n",
       "      <td>0.00063</td>\n",
       "      <td>0.000145</td>\n",
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       "      <td>0.000053</td>\n",
       "      <td>0.000035</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>7.027518e-07</td>\n",
       "      <td>0.000038</td>\n",
       "      <td>0.000001</td>\n",
       "      <td>0.000009</td>\n",
       "      <td>0.000008</td>\n",
       "      <td>0.000013</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 50 columns</p>\n",
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      ],
      "text/plain": [
       "          parking   bench  place_of_worship  restaurant    school  \\\n",
       "nuts_id                                                             \n",
       "AL       0.000605  0.0004          0.000323    0.000749  0.000343   \n",
       "AL0      0.000605  0.0004          0.000323    0.000749  0.000343   \n",
       "\n",
       "         parking_space      fuel  waste_basket     cafe  fast_food  ...  \\\n",
       "nuts_id                                                             ...   \n",
       "AL            0.000018  0.000475       0.00002  0.00063   0.000145  ...   \n",
       "AL0           0.000018  0.000475       0.00002  0.00063   0.000145  ...   \n",
       "\n",
       "         car_wash  marketplace  bus_station   college  public_building  \\\n",
       "nuts_id                                                                  \n",
       "AL         0.0001     0.000053     0.000035  0.000005     7.027518e-07   \n",
       "AL0        0.0001     0.000053     0.000035  0.000005     7.027518e-07   \n",
       "\n",
       "         university  charging_station  bicycle_rental  veterinary   theatre  \n",
       "nuts_id                                                                      \n",
       "AL         0.000038          0.000001        0.000009    0.000008  0.000013  \n",
       "AL0        0.000038          0.000001        0.000009    0.000008  0.000013  \n",
       "\n",
       "[2 rows x 50 columns]"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filepath = \"data/europe-amenity-features.csv.gz\"\n",
    "\n",
    "df = pd.read_csv(filepath, index_col='nuts_id')\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "bdb21ede-7b66-4671-8b97-bd878abe6fac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.Series(df.values.flatten()).plot(kind='hist', bins=100, logy=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "abde796c-2a96-4297-9ac6-16ae90b359ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "#color_list = ['#24262E', '#00D2D4', '#FF972A']\n",
    "#color_list = ['#00D2D4', '#FF972A']\n",
    "color_list = ['#00D2D4', '#E8FFFF', '#FF972A']\n",
    "\n",
    "cmap = LinearSegmentedColormap.from_list(\n",
    "    \"custom_gradient\", color_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "53f0c0e7-2ef1-4f3f-a371-cc3741e4c150",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['#440154', '#443983', '#31688e', '#21918c', '#35b779', '#90d743', '#fde725']"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "colors = [to_hex(cm.viridis(t)) for t in np.linspace(0, 1, 7)]\n",
    "colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "c15c1d3e-cf3c-4c29-b214-b48ba9dc86e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf_nuts = gpd.read_file(\"data/nuts_60m.gpkg\")\n",
    "mask = gdf_nuts['levl_code'] == 2\n",
    "nuts_ids = gdf_nuts[mask]['nuts_id'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "202a16e5-8f16-45f4-903e-8fadf236a30f",
   "metadata": {},
   "outputs": [],
   "source": [
    "mask = df.index.isin(nuts_ids)\n",
    "df = df[mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "6eeab5dd-97e7-4b5c-8246-350f0a4f5521",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NaturalBreaks         \n",
       "\n",
       "   Interval      Count\n",
       "----------------------\n",
       "[ 0.00,  0.53] | 15929\n",
       "( 0.53,  1.95] |  1975\n",
       "( 1.95,  4.79] |   322\n",
       "( 4.79,  9.12] |   148\n",
       "( 9.12, 14.81] |    99\n",
       "(14.81, 30.48] |    24\n",
       "(30.48, 62.91] |     3"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nb = mc.NaturalBreaks(1000 * df.fillna(0).values.flatten(), k=7)\n",
    "nb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "f126b84e-04f7-4eb3-b22d-281b0d72ba70",
   "metadata": {},
   "outputs": [],
   "source": [
    "properties = ['restaurant', 'parking', 'cafe', 'bank', 'atm', 'fast_food', 'fuel', 'school', 'police']\n",
    "\n",
    "data = {\n",
    "    'bins': {},\n",
    "    'colors': colors,\n",
    "    'properties': properties\n",
    "}\n",
    "for prop in properties:\n",
    "    values = df[prop].dropna().values\n",
    "    #m = mc.NaturalBreaks(values, k=7)\n",
    "    m = mc.Quantiles(values, k=7)\n",
    "    data['bins'][prop] = m.bins.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "f4203d79-d6af-42f4-b09b-7579458dfce0",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"website/data/nuts2_amenity_bins.json\", \"w\") as f:\n",
    "    json.dump(data, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "c486702d-b5ee-4436-a2c1-dc04f1f7e5e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf_tmp = gdf_nuts.set_index('nuts_id')[['geometry']] \\\n",
    "  .join(df['parking']).dropna(subset='parking') \\\n",
    "  .to_crs(epsg=3035)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "196e4a95-ae6b-4492-aa09-47ea7905f38c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Quantiles           \n",
       "\n",
       "  Interval     Count\n",
       "--------------------\n",
       "[0.00, 0.00] |    47\n",
       "(0.00, 0.00] |    46\n",
       "(0.00, 0.01] |    47\n",
       "(0.01, 0.01] |    46\n",
       "(0.01, 0.01] |    47\n",
       "(0.01, 0.01] |    46\n",
       "(0.01, 0.06] |    47"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = mc.Quantiles(gdf_tmp['parking'].values, k=7)\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "8964610b-b34d-4e72-b714-3510856915e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 10))\n",
    "\n",
    "for i in range(7):\n",
    "    mask = m.yb == i\n",
    "    gdf_tmp[mask].plot(ax=ax, color=colors[i]);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "82d9cc21-3583-4772-a4cd-82a5dc775977",
   "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>restaurant</th>\n",
       "      <th>parking</th>\n",
       "      <th>cafe</th>\n",
       "      <th>bank</th>\n",
       "      <th>atm</th>\n",
       "      <th>fast_food</th>\n",
       "      <th>fuel</th>\n",
       "      <th>school</th>\n",
       "      <th>police</th>\n",
       "      <th>name</th>\n",
       "      <th>country</th>\n",
       "      <th>DEFR</th>\n",
       "      <th>FRUK</th>\n",
       "      <th>UKDE</th>\n",
       "      <th>nuts_id</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000179</td>\n",
       "      <td>0.000018</td>\n",
       "      <td>0.000504</td>\n",
       "      <td>0.000051</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>0.000102</td>\n",
       "      <td>0.000065</td>\n",
       "      <td>0.000040</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>Veri</td>\n",
       "      <td>AL</td>\n",
       "      <td>0.577738</td>\n",
       "      <td>0.794598</td>\n",
       "      <td>0.007488</td>\n",
       "      <td>AL01</td>\n",
       "      <td>MULTIPOLYGON (((19.83100 42.46645, 20.07630 42...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.000213</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>0.000234</td>\n",
       "      <td>0.000068</td>\n",
       "      <td>0.000006</td>\n",
       "      <td>0.000065</td>\n",
       "      <td>0.000049</td>\n",
       "      <td>0.000025</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>Qender</td>\n",
       "      <td>AL</td>\n",
       "      <td>0.759033</td>\n",
       "      <td>0.839917</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>AL02</td>\n",
       "      <td>MULTIPOLYGON (((19.90835 41.51193, 20.23617 41...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   restaurant   parking      cafe      bank       atm  fast_food      fuel  \\\n",
       "0    0.000179  0.000018  0.000504  0.000051  0.000017   0.000102  0.000065   \n",
       "1    0.000213  0.000002  0.000234  0.000068  0.000006   0.000065  0.000049   \n",
       "\n",
       "     school    police    name country      DEFR      FRUK      UKDE nuts_id  \\\n",
       "0  0.000040  0.000006    Veri      AL  0.577738  0.794598  0.007488    AL01   \n",
       "1  0.000025  0.000005  Qender      AL  0.759033  0.839917  0.000007    AL02   \n",
       "\n",
       "                                            geometry  \n",
       "0  MULTIPOLYGON (((19.83100 42.46645, 20.07630 42...  \n",
       "1  MULTIPOLYGON (((19.90835 41.51193, 20.23617 41...  "
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf_testing = gpd.read_file(\"website/data/nuts2_data_simplified.json\")\n",
    "gdf_testing.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "0353a9bb-9c43-4681-9eb2-5edada365c33",
   "metadata": {},
   "outputs": [],
   "source": [
    "properties = ['restaurant', 'parking', 'cafe', 'bank', 'atm', 'fast_food', 'fuel', 'school', 'police']\n",
    "\n",
    "data = {\n",
    "    'bins': {},\n",
    "    'colors': colors,\n",
    "    'properties': properties\n",
    "}\n",
    "for prop in properties:\n",
    "    values = gdf_testing[prop].dropna().values\n",
    "    #m = mc.NaturalBreaks(values, k=7)\n",
    "    m = mc.Quantiles(values, k=7)\n",
    "    data['bins'][prop] = m.bins.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "6f6085ae-400f-454a-ba4e-3aaf3f460548",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"website/data/nuts2_amenity_bins.json\", \"w\") as f:\n",
    "    json.dump(data, f)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "gis",
   "language": "python",
   "name": "gis"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}