Mapping crime victimisations from the nz police data site

MapVictimisations.ipynb

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   "source": [
    "%pip install geopandas matplotlib pandas\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TA2025_V1_</th>\n",
       "      <th>TA2025_V_1</th>\n",
       "      <th>TA2025_V_2</th>\n",
       "      <th>AREA_SQ_KM</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>001</td>\n",
       "      <td>Far North District</td>\n",
       "      <td>Far North District</td>\n",
       "      <td>6698.780396</td>\n",
       "      <td>6686.432576</td>\n",
       "      <td>2.172136e+06</td>\n",
       "      <td>MULTIPOLYGON (((174.11211 -35.20418, 174.1121 ...</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>Whangarei District</td>\n",
       "      <td>Whangarei District</td>\n",
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       "      <td>003</td>\n",
       "      <td>Kaipara District</td>\n",
       "      <td>Kaipara District</td>\n",
       "      <td>3109.033033</td>\n",
       "      <td>3109.033033</td>\n",
       "      <td>9.367125e+05</td>\n",
       "      <td>MULTIPOLYGON (((174.34797 -36.22526, 174.34798...</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>011</td>\n",
       "      <td>Thames-Coromandel District</td>\n",
       "      <td>Thames-Coromandel District</td>\n",
       "      <td>2207.591134</td>\n",
       "      <td>2207.591134</td>\n",
       "      <td>8.363780e+05</td>\n",
       "      <td>MULTIPOLYGON (((175.83582 -36.7285, 175.83579 ...</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>012</td>\n",
       "      <td>Hauraki District</td>\n",
       "      <td>Hauraki District</td>\n",
       "      <td>1270.160780</td>\n",
       "      <td>1270.160780</td>\n",
       "      <td>3.115606e+05</td>\n",
       "      <td>MULTIPOLYGON (((175.26977 -37.03585, 175.2687 ...</td>\n",
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       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>073</td>\n",
       "      <td>Southland District</td>\n",
       "      <td>Southland District</td>\n",
       "      <td>30237.415798</td>\n",
       "      <td>29586.114263</td>\n",
       "      <td>4.047685e+06</td>\n",
       "      <td>MULTIPOLYGON (((167.55448 -47.1217, 167.55441 ...</td>\n",
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       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>074</td>\n",
       "      <td>Gore District</td>\n",
       "      <td>Gore District</td>\n",
       "      <td>1253.846592</td>\n",
       "      <td>1253.846592</td>\n",
       "      <td>2.345398e+05</td>\n",
       "      <td>POLYGON ((168.90539 -46.24264, 168.901 -46.242...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>075</td>\n",
       "      <td>Invercargill City</td>\n",
       "      <td>Invercargill City</td>\n",
       "      <td>393.822375</td>\n",
       "      <td>393.822375</td>\n",
       "      <td>2.845694e+05</td>\n",
       "      <td>MULTIPOLYGON (((168.31395 -46.59189, 168.31387...</td>\n",
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       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>076</td>\n",
       "      <td>Auckland</td>\n",
       "      <td>Auckland</td>\n",
       "      <td>4941.353814</td>\n",
       "      <td>4940.287542</td>\n",
       "      <td>2.901955e+06</td>\n",
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       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>999</td>\n",
       "      <td>Area Outside Territorial Authority</td>\n",
       "      <td>Area Outside Territorial Authority</td>\n",
       "      <td>29.979349</td>\n",
       "      <td>29.979349</td>\n",
       "      <td>9.592651e+04</td>\n",
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      "text/plain": [
       "   TA2025_V1_                          TA2025_V_1  \\\n",
       "0         001                  Far North District   \n",
       "1         002                  Whangarei District   \n",
       "2         003                    Kaipara District   \n",
       "3         011          Thames-Coromandel District   \n",
       "4         012                    Hauraki District   \n",
       "..        ...                                 ...   \n",
       "63        073                  Southland District   \n",
       "64        074                       Gore District   \n",
       "65        075                   Invercargill City   \n",
       "66        076                            Auckland   \n",
       "67        999  Area Outside Territorial Authority   \n",
       "\n",
       "                            TA2025_V_2    AREA_SQ_KM    LAND_AREA_  \\\n",
       "0                   Far North District   6698.780396   6686.432576   \n",
       "1                   Whangarei District   2711.454647   2711.454647   \n",
       "2                     Kaipara District   3109.033033   3109.033033   \n",
       "3           Thames-Coromandel District   2207.591134   2207.591134   \n",
       "4                     Hauraki District   1270.160780   1270.160780   \n",
       "..                                 ...           ...           ...   \n",
       "63                  Southland District  30237.415798  29586.114263   \n",
       "64                       Gore District   1253.846592   1253.846592   \n",
       "65                   Invercargill City    393.822375    393.822375   \n",
       "66                            Auckland   4941.353814   4940.287542   \n",
       "67  Area Outside Territorial Authority     29.979349     29.979349   \n",
       "\n",
       "      SHAPE_Leng                                           geometry  \n",
       "0   2.172136e+06  MULTIPOLYGON (((174.11211 -35.20418, 174.1121 ...  \n",
       "1   9.288093e+05  MULTIPOLYGON (((174.49539 -35.63807, 174.49537...  \n",
       "2   9.367125e+05  MULTIPOLYGON (((174.34797 -36.22526, 174.34798...  \n",
       "3   8.363780e+05  MULTIPOLYGON (((175.83582 -36.7285, 175.83579 ...  \n",
       "4   3.115606e+05  MULTIPOLYGON (((175.26977 -37.03585, 175.2687 ...  \n",
       "..           ...                                                ...  \n",
       "63  4.047685e+06  MULTIPOLYGON (((167.55448 -47.1217, 167.55441 ...  \n",
       "64  2.345398e+05  POLYGON ((168.90539 -46.24264, 168.901 -46.242...  \n",
       "65  2.845694e+05  MULTIPOLYGON (((168.31395 -46.59189, 168.31387...  \n",
       "66  2.901955e+06  MULTIPOLYGON (((174.79423 -36.4782, 174.7942 -...  \n",
       "67  9.592651e+04  MULTIPOLYGON (((176.56125 -37.65954, 176.56123...  \n",
       "\n",
       "[68 rows x 7 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "TAs = gpd.read_file('statsnz-territorial-authority-2025-clipped-SHP.zip')\n",
    "TAs = TAs.to_crs(epsg=4326)  # Convert to WGS84\n",
    "TAs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['TA2025_V1_', 'TA2025_V_1', 'TA2025_V_2', 'AREA_SQ_KM', 'LAND_AREA_',\n",
       "       'SHAPE_Leng', 'geometry'],\n",
       "      dtype='object')"
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     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "TAs.columns"
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  {
   "cell_type": "code",
   "execution_count": 5,
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     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "TAs.plot()\n",
    "# column='TA2025_V1_', cmap='Set3', legend=True, figsize=(10, 10))\n",
    "# plt.title('Territorial Authorities of New Zealand (2025)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\user\\AppData\\Local\\Temp\\ipykernel_12508\\262175255.py:1: DeprecationWarning: The 'unary_union' attribute is deprecated, use the 'union_all()' method instead.\n",
      "  center_lon = TAs.unary_union.centroid.x\n",
      "C:\\Users\\user\\AppData\\Local\\Temp\\ipykernel_12508\\262175255.py:2: DeprecationWarning: The 'unary_union' attribute is deprecated, use the 'union_all()' method instead.\n",
      "  center_lat = TAs.unary_union.centroid.y\n"
     ]
    }
   ],
   "source": [
    "center_lon = TAs.unary_union.centroid.x\n",
    "center_lat = TAs.unary_union.centroid.y\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set the figure size\n",
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "\n",
    "# Plot the GeoDataFrame\n",
    "TAs.plot(ax=ax)\n",
    "\n",
    "# Set the x and y limits of the plot to center it\n",
    "ax.set_xlim(center_lon - 10, center_lon + 10)\n",
    "ax.set_ylim(center_lat - 10, center_lat + 10)\n",
    "\n",
    "# Display the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://geopandas.org/en/stable/docs/user_guide/mapping.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['TA2025_V1_', 'TA2025_V_1', 'TA2025_V_2', 'AREA_SQ_KM', 'LAND_AREA_',\n",
       "       'SHAPE_Leng', 'geometry'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "TAs.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "Vs = pd.read_csv('MapV202425.csv')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "Vs['Territorial Authority1'] = Vs['Territorial Authority'].str.replace('.','', regex=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "VTAs = Vs.groupby(['Territorial Authority1'])['Victimisations'].sum()"
   ]
  },
  {
   "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>TA2025_V1_</th>\n",
       "      <th>TA2025_V_1</th>\n",
       "      <th>TA2025_V_2</th>\n",
       "      <th>AREA_SQ_KM</th>\n",
       "      <th>LAND_AREA_</th>\n",
       "      <th>SHAPE_Leng</th>\n",
       "      <th>geometry</th>\n",
       "      <th>Victimisations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>001</td>\n",
       "      <td>Far North District</td>\n",
       "      <td>Far North District</td>\n",
       "      <td>6698.780396</td>\n",
       "      <td>6686.432576</td>\n",
       "      <td>2.172136e+06</td>\n",
       "      <td>MULTIPOLYGON (((174.11211 -35.20418, 174.1121 ...</td>\n",
       "      <td>4594.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>002</td>\n",
       "      <td>Whangarei District</td>\n",
       "      <td>Whangarei District</td>\n",
       "      <td>2711.454647</td>\n",
       "      <td>2711.454647</td>\n",
       "      <td>9.288093e+05</td>\n",
       "      <td>MULTIPOLYGON (((174.49539 -35.63807, 174.49537...</td>\n",
       "      <td>8037.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>003</td>\n",
       "      <td>Kaipara District</td>\n",
       "      <td>Kaipara District</td>\n",
       "      <td>3109.033033</td>\n",
       "      <td>3109.033033</td>\n",
       "      <td>9.367125e+05</td>\n",
       "      <td>MULTIPOLYGON (((174.34797 -36.22526, 174.34798...</td>\n",
       "      <td>1350.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>011</td>\n",
       "      <td>Thames-Coromandel District</td>\n",
       "      <td>Thames-Coromandel District</td>\n",
       "      <td>2207.591134</td>\n",
       "      <td>2207.591134</td>\n",
       "      <td>8.363780e+05</td>\n",
       "      <td>MULTIPOLYGON (((175.83582 -36.7285, 175.83579 ...</td>\n",
       "      <td>2156.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>012</td>\n",
       "      <td>Hauraki District</td>\n",
       "      <td>Hauraki District</td>\n",
       "      <td>1270.160780</td>\n",
       "      <td>1270.160780</td>\n",
       "      <td>3.115606e+05</td>\n",
       "      <td>MULTIPOLYGON (((175.26977 -37.03585, 175.2687 ...</td>\n",
       "      <td>1284.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>013</td>\n",
       "      <td>Waikato District</td>\n",
       "      <td>Waikato District</td>\n",
       "      <td>4451.110856</td>\n",
       "      <td>4404.077010</td>\n",
       "      <td>6.814055e+05</td>\n",
       "      <td>POLYGON ((175.1419 -37.17569, 175.14112 -37.17...</td>\n",
       "      <td>4076.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>015</td>\n",
       "      <td>Matamata-Piako District</td>\n",
       "      <td>Matamata-Piako District</td>\n",
       "      <td>1755.348159</td>\n",
       "      <td>1755.348159</td>\n",
       "      <td>2.447237e+05</td>\n",
       "      <td>POLYGON ((175.91441 -37.80768, 175.91374 -37.8...</td>\n",
       "      <td>2264.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>016</td>\n",
       "      <td>Hamilton City</td>\n",
       "      <td>Hamilton City</td>\n",
       "      <td>110.936699</td>\n",
       "      <td>110.373100</td>\n",
       "      <td>7.048772e+04</td>\n",
       "      <td>POLYGON ((175.27417 -37.82404, 175.27402 -37.8...</td>\n",
       "      <td>24616.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>017</td>\n",
       "      <td>Waipa District</td>\n",
       "      <td>Waipa District</td>\n",
       "      <td>1470.090735</td>\n",
       "      <td>1470.090735</td>\n",
       "      <td>2.480731e+05</td>\n",
       "      <td>POLYGON ((175.36982 -38.08143, 175.36922 -38.0...</td>\n",
       "      <td>3187.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>018</td>\n",
       "      <td>Ōtorohanga District</td>\n",
       "      <td>Otorohanga District</td>\n",
       "      <td>1999.149760</td>\n",
       "      <td>1999.149760</td>\n",
       "      <td>4.574040e+05</td>\n",
       "      <td>MULTIPOLYGON (((174.80345 -38.09998, 174.80353...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  TA2025_V1_                  TA2025_V_1                  TA2025_V_2  \\\n",
       "0        001          Far North District          Far North District   \n",
       "1        002          Whangarei District          Whangarei District   \n",
       "2        003            Kaipara District            Kaipara District   \n",
       "3        011  Thames-Coromandel District  Thames-Coromandel District   \n",
       "4        012            Hauraki District            Hauraki District   \n",
       "5        013            Waikato District            Waikato District   \n",
       "6        015     Matamata-Piako District     Matamata-Piako District   \n",
       "7        016               Hamilton City               Hamilton City   \n",
       "8        017              Waipa District              Waipa District   \n",
       "9        018         Ōtorohanga District         Otorohanga District   \n",
       "\n",
       "    AREA_SQ_KM   LAND_AREA_    SHAPE_Leng  \\\n",
       "0  6698.780396  6686.432576  2.172136e+06   \n",
       "1  2711.454647  2711.454647  9.288093e+05   \n",
       "2  3109.033033  3109.033033  9.367125e+05   \n",
       "3  2207.591134  2207.591134  8.363780e+05   \n",
       "4  1270.160780  1270.160780  3.115606e+05   \n",
       "5  4451.110856  4404.077010  6.814055e+05   \n",
       "6  1755.348159  1755.348159  2.447237e+05   \n",
       "7   110.936699   110.373100  7.048772e+04   \n",
       "8  1470.090735  1470.090735  2.480731e+05   \n",
       "9  1999.149760  1999.149760  4.574040e+05   \n",
       "\n",
       "                                            geometry  Victimisations  \n",
       "0  MULTIPOLYGON (((174.11211 -35.20418, 174.1121 ...          4594.0  \n",
       "1  MULTIPOLYGON (((174.49539 -35.63807, 174.49537...          8037.0  \n",
       "2  MULTIPOLYGON (((174.34797 -36.22526, 174.34798...          1350.0  \n",
       "3  MULTIPOLYGON (((175.83582 -36.7285, 175.83579 ...          2156.0  \n",
       "4  MULTIPOLYGON (((175.26977 -37.03585, 175.2687 ...          1284.0  \n",
       "5  POLYGON ((175.1419 -37.17569, 175.14112 -37.17...          4076.0  \n",
       "6  POLYGON ((175.91441 -37.80768, 175.91374 -37.8...          2264.0  \n",
       "7  POLYGON ((175.27417 -37.82404, 175.27402 -37.8...         24616.0  \n",
       "8  POLYGON ((175.36982 -38.08143, 175.36922 -38.0...          3187.0  \n",
       "9  MULTIPOLYGON (((174.80345 -38.09998, 174.80353...             NaN  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SpatialVTAs = pd.merge(TAs, VTAs, left_on='TA2025_V_1', right_on='Territorial Authority1', how='left')\n",
    "SpatialVTAs.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the GeoDataFrame\n",
    "# Set the figure size\n",
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "\n",
    "# Set the x and y limits of the plot to center it\n",
    "ax.set_xlim(center_lon - 10, center_lon + 10)\n",
    "ax.set_ylim(center_lat - 10, center_lat + 10)\n",
    "\n",
    "SpatialVTAs.plot(ax=ax, column='Victimisations')\n",
    "plt.title('Victimisations by Territorial Authority (2025)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TA2025_V1_</th>\n",
       "      <th>TA2025_V_1</th>\n",
       "      <th>TA2025_V_2</th>\n",
       "      <th>AREA_SQ_KM</th>\n",
       "      <th>LAND_AREA_</th>\n",
       "      <th>SHAPE_Leng</th>\n",
       "      <th>geometry</th>\n",
       "      <th>Victimisations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>001</td>\n",
       "      <td>Far North District</td>\n",
       "      <td>Far North District</td>\n",
       "      <td>6698.780396</td>\n",
       "      <td>6686.432576</td>\n",
       "      <td>2.172136e+06</td>\n",
       "      <td>MULTIPOLYGON (((174.11211 -35.20418, 174.1121 ...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>002</td>\n",
       "      <td>Whangarei District</td>\n",
       "      <td>Whangarei District</td>\n",
       "      <td>2711.454647</td>\n",
       "      <td>2711.454647</td>\n",
       "      <td>9.288093e+05</td>\n",
       "      <td>MULTIPOLYGON (((174.49539 -35.63807, 174.49537...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>003</td>\n",
       "      <td>Kaipara District</td>\n",
       "      <td>Kaipara District</td>\n",
       "      <td>3109.033033</td>\n",
       "      <td>3109.033033</td>\n",
       "      <td>9.367125e+05</td>\n",
       "      <td>MULTIPOLYGON (((174.34797 -36.22526, 174.34798...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>011</td>\n",
       "      <td>Thames-Coromandel District</td>\n",
       "      <td>Thames-Coromandel District</td>\n",
       "      <td>2207.591134</td>\n",
       "      <td>2207.591134</td>\n",
       "      <td>8.363780e+05</td>\n",
       "      <td>MULTIPOLYGON (((175.83582 -36.7285, 175.83579 ...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>012</td>\n",
       "      <td>Hauraki District</td>\n",
       "      <td>Hauraki District</td>\n",
       "      <td>1270.160780</td>\n",
       "      <td>1270.160780</td>\n",
       "      <td>3.115606e+05</td>\n",
       "      <td>MULTIPOLYGON (((175.26977 -37.03585, 175.2687 ...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  TA2025_V1_                  TA2025_V_1                  TA2025_V_2  \\\n",
       "0        001          Far North District          Far North District   \n",
       "1        002          Whangarei District          Whangarei District   \n",
       "2        003            Kaipara District            Kaipara District   \n",
       "3        011  Thames-Coromandel District  Thames-Coromandel District   \n",
       "4        012            Hauraki District            Hauraki District   \n",
       "\n",
       "    AREA_SQ_KM   LAND_AREA_    SHAPE_Leng  \\\n",
       "0  6698.780396  6686.432576  2.172136e+06   \n",
       "1  2711.454647  2711.454647  9.288093e+05   \n",
       "2  3109.033033  3109.033033  9.367125e+05   \n",
       "3  2207.591134  2207.591134  8.363780e+05   \n",
       "4  1270.160780  1270.160780  3.115606e+05   \n",
       "\n",
       "                                            geometry  Victimisations  \n",
       "0  MULTIPOLYGON (((174.11211 -35.20418, 174.1121 ...             NaN  \n",
       "1  MULTIPOLYGON (((174.49539 -35.63807, 174.49537...             NaN  \n",
       "2  MULTIPOLYGON (((174.34797 -36.22526, 174.34798...             NaN  \n",
       "3  MULTIPOLYGON (((175.83582 -36.7285, 175.83579 ...             NaN  \n",
       "4  MULTIPOLYGON (((175.26977 -37.03585, 175.2687 ...             NaN  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SpatialVTAs.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MB2023_V1_</th>\n",
       "      <th>LANDWATER</th>\n",
       "      <th>LANDWATER_</th>\n",
       "      <th>LAND_AREA_</th>\n",
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       "      <td>157.497825</td>\n",
       "      <td>84526.158926</td>\n",
       "      <td>MULTIPOLYGON (((172.67991 -34.42184, 172.67989...</td>\n",
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       "      <td>83.342952</td>\n",
       "      <td>41499.302475</td>\n",
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       "      <td>12</td>\n",
       "      <td>Mainland</td>\n",
       "      <td>51.238250</td>\n",
       "      <td>51.238250</td>\n",
       "      <td>62944.884996</td>\n",
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       "      <td>41.048568</td>\n",
       "      <td>41.048568</td>\n",
       "      <td>39960.510678</td>\n",
       "      <td>POLYGON ((173.7461 -35.23292, 173.74897 -35.23...</td>\n",
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       "      <th>96</th>\n",
       "      <td>0072606</td>\n",
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       "      <td>Mainland</td>\n",
       "      <td>0.245888</td>\n",
       "      <td>0.245888</td>\n",
       "      <td>2262.407613</td>\n",
       "      <td>POLYGON ((174.34127 -35.69749, 174.34117 -35.6...</td>\n",
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       "      <th>97</th>\n",
       "      <td>0495100</td>\n",
       "      <td>12</td>\n",
       "      <td>Mainland</td>\n",
       "      <td>0.030720</td>\n",
       "      <td>0.030720</td>\n",
       "      <td>702.843378</td>\n",
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       "      <td>5.424856</td>\n",
       "      <td>5.424856</td>\n",
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       "      <td>13.876682</td>\n",
       "      <td>13.876682</td>\n",
       "      <td>24052.460022</td>\n",
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       "<p>100 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   MB2023_V1_ LANDWATER LANDWATER_  LAND_AREA_  AREA_SQ_KM     Shape_Leng  \\\n",
       "0     0000100        12   Mainland  157.497825  157.497825   84526.158926   \n",
       "1     0000200        12   Mainland  120.503770  120.503770  122885.186789   \n",
       "2     0000300        12   Mainland    7.481859    7.481859   28321.227739   \n",
       "3     0000400        12   Mainland   83.342952   83.342952   41499.302475   \n",
       "4     0001201        12   Mainland   51.238250   51.238250   62944.884996   \n",
       "..        ...       ...        ...         ...         ...            ...   \n",
       "95    0032100        12   Mainland   41.048568   41.048568   39960.510678   \n",
       "96    0072606        12   Mainland    0.245888    0.245888    2262.407613   \n",
       "97    0495100        12   Mainland    0.030720    0.030720     702.843378   \n",
       "98    0028700        12   Mainland    5.424856    5.424856   16359.646087   \n",
       "99    0029000        12   Mainland   13.876682   13.876682   24052.460022   \n",
       "\n",
       "                                             geometry  \n",
       "0   MULTIPOLYGON (((172.67991 -34.42184, 172.67989...  \n",
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       "2   POLYGON ((172.88016 -34.49507, 172.88096 -34.4...  \n",
       "3   MULTIPOLYGON (((172.81036 -34.50229, 172.81186...  \n",
       "4   MULTIPOLYGON (((173.06077 -34.70409, 173.06087...  \n",
       "..                                                ...  \n",
       "95  POLYGON ((173.7461 -35.23292, 173.74897 -35.23...  \n",
       "96  POLYGON ((174.34127 -35.69749, 174.34117 -35.6...  \n",
       "97  POLYGON ((174.79937 -36.89076, 174.79799 -36.8...  \n",
       "98  POLYGON ((173.3917 -35.23231, 173.39212 -35.23...  \n",
       "99  POLYGON ((173.36818 -35.25798, 173.36819 -35.2...  \n",
       "\n",
       "[100 rows x 7 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "MBs = gpd.read_file('statsnz-meshblock-2023-clipped-generalised-SHP.zip')\n",
    "MBs = MBs.to_crs(epsg=4326)  # Convert to WGS84\n",
    "MBs.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\user\\AppData\\Local\\Temp\\ipykernel_12508\\2007809126.py:1: DeprecationWarning: The 'unary_union' attribute is deprecated, use the 'union_all()' method instead.\n",
      "  MBs_center_lon = MBs.unary_union.centroid.x\n",
      "C:\\Users\\user\\AppData\\Local\\Temp\\ipykernel_12508\\2007809126.py:2: DeprecationWarning: The 'unary_union' attribute is deprecated, use the 'union_all()' method instead.\n",
      "  MBs_center_lat = MBs.unary_union.centroid.y\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "MBs_center_lon = MBs.unary_union.centroid.x\n",
    "MBs_center_lat = MBs.unary_union.centroid.y\n",
    "\n",
    "# Set the figure size\n",
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "\n",
    "# Plot the GeoDataFrame\n",
    "MBs.plot(ax=ax)\n",
    "\n",
    "# Set the x and y limits of the plot to center it\n",
    "ax.set_xlim(center_lon - 10, center_lon + 10)\n",
    "ax.set_ylim(center_lat - 10, center_lat + 10)\n",
    "\n",
    "# Display the plot\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('int64')"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# just checking what the datatype of the pandas index is for VMBs\n",
    "VMBs.index.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
       "columns": [
        {
         "name": "Meshblock",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "Victimisations",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "Meshblock1",
         "rawType": "int64",
         "type": "integer"
        },
        {
         "name": "Meshblock2",
         "rawType": "object",
         "type": "string"
        },
        {
         "name": "Meshblock3",
         "rawType": "object",
         "type": "string"
        }
       ],
       "conversionMethod": "pd.DataFrame",
       "ref": "98a3db51-e55d-47d5-9dc3-fee87b927034",
       "rows": [
        [
         "-1461",
         "11",
         "-1461",
         "Meshblock\n-1461         -1461\n-1432         -1432\n-422           -422\n-420           -420\n-419           -419\n             ...   \n 3207003    3207003\n 3209001    3209001\n 3209002    3209002\n 3210001    3210001\n 3210002    3210002\nName: Meshblock1, Length: 35332, dtype: int64",
         "-001461"
        ],
        [
         "-1432",
         "10",
         "-1432",
         "Meshblock\n-1461         -1461\n-1432         -1432\n-422           -422\n-420           -420\n-419           -419\n             ...   \n 3207003    3207003\n 3209001    3209001\n 3209002    3209002\n 3210001    3210001\n 3210002    3210002\nName: Meshblock1, Length: 35332, dtype: int64",
         "-001432"
        ],
        [
         "-422",
         "1",
         "-422",
         "Meshblock\n-1461         -1461\n-1432         -1432\n-422           -422\n-420           -420\n-419           -419\n             ...   \n 3207003    3207003\n 3209001    3209001\n 3209002    3209002\n 3210001    3210001\n 3210002    3210002\nName: Meshblock1, Length: 35332, dtype: int64",
         "-000422"
        ],
        [
         "-420",
         "2",
         "-420",
         "Meshblock\n-1461         -1461\n-1432         -1432\n-422           -422\n-420           -420\n-419           -419\n             ...   \n 3207003    3207003\n 3209001    3209001\n 3209002    3209002\n 3210001    3210001\n 3210002    3210002\nName: Meshblock1, Length: 35332, dtype: int64",
         "-000420"
        ],
        [
         "-419",
         "5",
         "-419",
         "Meshblock\n-1461         -1461\n-1432         -1432\n-422           -422\n-420           -420\n-419           -419\n             ...   \n 3207003    3207003\n 3209001    3209001\n 3209002    3209002\n 3210001    3210001\n 3210002    3210002\nName: Meshblock1, Length: 35332, dtype: int64",
         "-000419"
        ],
        [
         "-416",
         "1",
         "-416",
         "Meshblock\n-1461         -1461\n-1432         -1432\n-422           -422\n-420           -420\n-419           -419\n             ...   \n 3207003    3207003\n 3209001    3209001\n 3209002    3209002\n 3210001    3210001\n 3210002    3210002\nName: Meshblock1, Length: 35332, dtype: int64",
         "-000416"
        ],
        [
         "-412",
         "2",
         "-412",
         "Meshblock\n-1461         -1461\n-1432         -1432\n-422           -422\n-420           -420\n-419           -419\n             ...   \n 3207003    3207003\n 3209001    3209001\n 3209002    3209002\n 3210001    3210001\n 3210002    3210002\nName: Meshblock1, Length: 35332, dtype: int64",
         "-000412"
        ],
        [
         "-410",
         "32",
         "-410",
         "Meshblock\n-1461         -1461\n-1432         -1432\n-422           -422\n-420           -420\n-419           -419\n             ...   \n 3207003    3207003\n 3209001    3209001\n 3209002    3209002\n 3210001    3210001\n 3210002    3210002\nName: Meshblock1, Length: 35332, dtype: int64",
         "-000410"
        ],
        [
         "-408",
         "3",
         "-408",
         "Meshblock\n-1461         -1461\n-1432         -1432\n-422           -422\n-420           -420\n-419           -419\n             ...   \n 3207003    3207003\n 3209001    3209001\n 3209002    3209002\n 3210001    3210001\n 3210002    3210002\nName: Meshblock1, Length: 35332, dtype: int64",
         "-000408"
        ],
        [
         "-407",
         "1",
         "-407",
         "Meshblock\n-1461         -1461\n-1432         -1432\n-422           -422\n-420           -420\n-419           -419\n             ...   \n 3207003    3207003\n 3209001    3209001\n 3209002    3209002\n 3210001    3210001\n 3210002    3210002\nName: Meshblock1, Length: 35332, dtype: int64",
         "-000407"
        ]
       ],
       "shape": {
        "columns": 4,
        "rows": 10
       }
      },
      "text/html": [
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       "    }\n",
       "\n",
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       "        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>Victimisations</th>\n",
       "      <th>Meshblock1</th>\n",
       "      <th>Meshblock2</th>\n",
       "      <th>Meshblock3</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Meshblock</th>\n",
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       "      <th></th>\n",
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       "      <th>-1461</th>\n",
       "      <td>11</td>\n",
       "      <td>-1461</td>\n",
       "      <td>Meshblock\\n-1461         -1461\\n-1432         ...</td>\n",
       "      <td>-001461</td>\n",
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       "      <th>-1432</th>\n",
       "      <td>10</td>\n",
       "      <td>-1432</td>\n",
       "      <td>Meshblock\\n-1461         -1461\\n-1432         ...</td>\n",
       "      <td>-001432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-422</th>\n",
       "      <td>1</td>\n",
       "      <td>-422</td>\n",
       "      <td>Meshblock\\n-1461         -1461\\n-1432         ...</td>\n",
       "      <td>-000422</td>\n",
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       "      <th>-420</th>\n",
       "      <td>2</td>\n",
       "      <td>-420</td>\n",
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       "      <td>-000420</td>\n",
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       "      <th>-419</th>\n",
       "      <td>5</td>\n",
       "      <td>-419</td>\n",
       "      <td>Meshblock\\n-1461         -1461\\n-1432         ...</td>\n",
       "      <td>-000419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-416</th>\n",
       "      <td>1</td>\n",
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       "      <td>-000416</td>\n",
       "    </tr>\n",
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       "      <th>-412</th>\n",
       "      <td>2</td>\n",
       "      <td>-412</td>\n",
       "      <td>Meshblock\\n-1461         -1461\\n-1432         ...</td>\n",
       "      <td>-000412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-410</th>\n",
       "      <td>32</td>\n",
       "      <td>-410</td>\n",
       "      <td>Meshblock\\n-1461         -1461\\n-1432         ...</td>\n",
       "      <td>-000410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-408</th>\n",
       "      <td>3</td>\n",
       "      <td>-408</td>\n",
       "      <td>Meshblock\\n-1461         -1461\\n-1432         ...</td>\n",
       "      <td>-000408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>-407</th>\n",
       "      <td>1</td>\n",
       "      <td>-407</td>\n",
       "      <td>Meshblock\\n-1461         -1461\\n-1432         ...</td>\n",
       "      <td>-000407</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Victimisations  Meshblock1  \\\n",
       "Meshblock                               \n",
       "-1461                  11       -1461   \n",
       "-1432                  10       -1432   \n",
       "-422                    1        -422   \n",
       "-420                    2        -420   \n",
       "-419                    5        -419   \n",
       "-416                    1        -416   \n",
       "-412                    2        -412   \n",
       "-410                   32        -410   \n",
       "-408                    3        -408   \n",
       "-407                    1        -407   \n",
       "\n",
       "                                                  Meshblock2 Meshblock3  \n",
       "Meshblock                                                                \n",
       "-1461      Meshblock\\n-1461         -1461\\n-1432         ...    -001461  \n",
       "-1432      Meshblock\\n-1461         -1461\\n-1432         ...    -001432  \n",
       "-422       Meshblock\\n-1461         -1461\\n-1432         ...    -000422  \n",
       "-420       Meshblock\\n-1461         -1461\\n-1432         ...    -000420  \n",
       "-419       Meshblock\\n-1461         -1461\\n-1432         ...    -000419  \n",
       "-416       Meshblock\\n-1461         -1461\\n-1432         ...    -000416  \n",
       "-412       Meshblock\\n-1461         -1461\\n-1432         ...    -000412  \n",
       "-410       Meshblock\\n-1461         -1461\\n-1432         ...    -000410  \n",
       "-408       Meshblock\\n-1461         -1461\\n-1432         ...    -000408  \n",
       "-407       Meshblock\\n-1461         -1461\\n-1432         ...    -000407  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "VMBs = Vs.groupby(['Meshblock'])['Victimisations'].sum().to_frame()\n",
    "VMBs['Meshblock1'] = VMBs.index\n",
    "VMBs['Meshblock2'] = f\"{VMBs['Meshblock1']}\"\n",
    "\n",
    "def format_element(x):\n",
    "    if isinstance(x, (int, float)):\n",
    "        return '{:07d}'.format(x)\n",
    "    else:\n",
    "        return str(x)\n",
    "\n",
    "VMBs['Meshblock3'] = VMBs['Meshblock1'].apply(format_element)\n",
    "\n",
    "# VMBs['Meshblock3'] = \"{:07d}\".format(VMBs['Meshblock1'])\n",
    "\n",
    "VMBs.head(10)\n",
    "# VMBs.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>MB2023_V1_</th>\n",
       "      <th>LANDWATER</th>\n",
       "      <th>LANDWATER_</th>\n",
       "      <th>LAND_AREA_</th>\n",
       "      <th>AREA_SQ_KM</th>\n",
       "      <th>Shape_Leng</th>\n",
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       "      <td>0001201</td>\n",
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       "      <td>Mainland</td>\n",
       "      <td>51.238250</td>\n",
       "      <td>51.238250</td>\n",
       "      <td>62944.884996</td>\n",
       "      <td>MULTIPOLYGON (((173.06077 -34.70409, 173.06087...</td>\n",
       "      <td>9.0</td>\n",
       "      <td>1201.0</td>\n",
       "      <td>Meshblock\\n-1461         -1461\\n-1432         ...</td>\n",
       "      <td>0001201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0001500</td>\n",
       "      <td>12</td>\n",
       "      <td>Mainland</td>\n",
       "      <td>28.420141</td>\n",
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       "      <td>31363.003051</td>\n",
       "      <td>POLYGON ((173.15069 -34.82221, 173.15085 -34.8...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1500.0</td>\n",
       "      <td>Meshblock\\n-1461         -1461\\n-1432         ...</td>\n",
       "      <td>0001500</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0001600</td>\n",
       "      <td>12</td>\n",
       "      <td>Mainland</td>\n",
       "      <td>0.451940</td>\n",
       "      <td>0.451940</td>\n",
       "      <td>2947.988123</td>\n",
       "      <td>POLYGON ((173.19707 -34.90118, 173.19788 -34.9...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0001700</td>\n",
       "      <td>12</td>\n",
       "      <td>Mainland</td>\n",
       "      <td>0.375055</td>\n",
       "      <td>0.375055</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>12</td>\n",
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       "      <td>8.266875</td>\n",
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       "      <th>9</th>\n",
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       "      <td>12</td>\n",
       "      <td>Mainland</td>\n",
       "      <td>0.318343</td>\n",
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       "      <td>1.0</td>\n",
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       "      <td>Meshblock\\n-1461         -1461\\n-1432         ...</td>\n",
       "      <td>0002605</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "  MB2023_V1_ LANDWATER LANDWATER_  LAND_AREA_  AREA_SQ_KM     Shape_Leng  \\\n",
       "0    0000100        12   Mainland  157.497825  157.497825   84526.158926   \n",
       "1    0000200        12   Mainland  120.503770  120.503770  122885.186789   \n",
       "2    0000300        12   Mainland    7.481859    7.481859   28321.227739   \n",
       "3    0000400        12   Mainland   83.342952   83.342952   41499.302475   \n",
       "4    0001201        12   Mainland   51.238250   51.238250   62944.884996   \n",
       "5    0001500        12   Mainland   28.420141   28.420141   31363.003051   \n",
       "6    0001600        12   Mainland    0.451940    0.451940    2947.988123   \n",
       "7    0001700        12   Mainland    0.375055    0.375055    3288.824409   \n",
       "8    0002306        12   Mainland    8.266875    8.266875   13435.363625   \n",
       "9    0002605        12   Mainland    0.318343    0.318343    3310.564853   \n",
       "\n",
       "                                            geometry  Victimisations  \\\n",
       "0  MULTIPOLYGON (((172.67991 -34.42184, 172.67989...             3.0   \n",
       "1  MULTIPOLYGON (((173.01461 -34.39285, 173.01495...             NaN   \n",
       "2  POLYGON ((172.88016 -34.49507, 172.88096 -34.4...             1.0   \n",
       "3  MULTIPOLYGON (((172.81036 -34.50229, 172.81186...             2.0   \n",
       "4  MULTIPOLYGON (((173.06077 -34.70409, 173.06087...             9.0   \n",
       "5  POLYGON ((173.15069 -34.82221, 173.15085 -34.8...             1.0   \n",
       "6  POLYGON ((173.19707 -34.90118, 173.19788 -34.9...             NaN   \n",
       "7  POLYGON ((173.18577 -34.9043, 173.18569 -34.90...             NaN   \n",
       "8  POLYGON ((173.22541 -35.05693, 173.22555 -35.0...             1.0   \n",
       "9  POLYGON ((173.3873 -34.86631, 173.38796 -34.86...             1.0   \n",
       "\n",
       "   Meshblock1                                         Meshblock2 Meshblock3  \n",
       "0       100.0  Meshblock\\n-1461         -1461\\n-1432         ...    0000100  \n",
       "1         NaN                                                NaN        NaN  \n",
       "2       300.0  Meshblock\\n-1461         -1461\\n-1432         ...    0000300  \n",
       "3       400.0  Meshblock\\n-1461         -1461\\n-1432         ...    0000400  \n",
       "4      1201.0  Meshblock\\n-1461         -1461\\n-1432         ...    0001201  \n",
       "5      1500.0  Meshblock\\n-1461         -1461\\n-1432         ...    0001500  \n",
       "6         NaN                                                NaN        NaN  \n",
       "7         NaN                                                NaN        NaN  \n",
       "8      2306.0  Meshblock\\n-1461         -1461\\n-1432         ...    0002306  \n",
       "9      2605.0  Meshblock\\n-1461         -1461\\n-1432         ...    0002605  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SpatialVMBs = pd.merge(MBs, VMBs, left_on='MB2023_V1_', right_on='Meshblock3', how='left')\n",
    "SpatialVMBs.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Plot the GeoDataFrame\n",
    "# Set the figure size\n",
    "fig, ax = plt.subplots(figsize=(10, 10))\n",
    "\n",
    "# Set the x and y limits of the plot to center it\n",
    "ax.set_xlim(center_lon - 10, center_lon + 10)\n",
    "ax.set_ylim(center_lat - 10, center_lat + 10)\n",
    "\n",
    "SpatialVMBs.plot(ax=ax, column='Victimisations')\n",
    "plt.title('Victimisations by Meshblock (2023)')\n",
    "plt.show()"
   ]
  }
 ],
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