aus_states_territories.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d7196425",
   "metadata": {},
   "source": [
    "## States and territories of Australia\n",
    "\n",
    "This notebook gives a basic demonstration of the shapefiles found at:  \n",
    "`/g/data/ia39/aus-ref-clim-data-nci/shapefiles/data/aus_states_territories/`\n",
    "\n",
    "The Australian Bureau of Statistics (ABS) maintains the Australian Statistical Geography Standard (ASGS).\n",
    "The latest release is\n",
    "[Edition 3](https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3),\n",
    "which includes a \"States and Territories - 2021 - Shapefile\" that can be downloaded\n",
    "[here](https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files).\n",
    "\n",
    "In order to produce the shapefiles demonstrated below,\n",
    "the `processing_scripts/process_states_territories.py` script applies some minor changes\n",
    "(it removes some redundant rows and columns) to the original ABS shapefiles."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "24678edd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopandas as gp\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "79cbf8a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf = gp.read_file('/g/data/ia39/aus-ref-clim-data-nci/shapefiles/data/aus_states_territories/aus_states_territories.shp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e82650f1",
   "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>STE_NAME21</th>\n",
       "      <th>ABBREV</th>\n",
       "      <th>AREASQKM21</th>\n",
       "      <th>LOCI_URI21</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>New South Wales</td>\n",
       "      <td>NSW</td>\n",
       "      <td>8.007977e+05</td>\n",
       "      <td>http://linked.data.gov.au/dataset/asgsed3/STE/1</td>\n",
       "      <td>MULTIPOLYGON (((159.06230 -31.50886, 159.06218...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Victoria</td>\n",
       "      <td>VIC</td>\n",
       "      <td>2.274962e+05</td>\n",
       "      <td>http://linked.data.gov.au/dataset/asgsed3/STE/2</td>\n",
       "      <td>MULTIPOLYGON (((146.29286 -39.15778, 146.29341...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Queensland</td>\n",
       "      <td>QLD</td>\n",
       "      <td>1.730171e+06</td>\n",
       "      <td>http://linked.data.gov.au/dataset/asgsed3/STE/3</td>\n",
       "      <td>MULTIPOLYGON (((142.53140 -10.68301, 142.53072...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>South Australia</td>\n",
       "      <td>SA</td>\n",
       "      <td>9.842314e+05</td>\n",
       "      <td>http://linked.data.gov.au/dataset/asgsed3/STE/4</td>\n",
       "      <td>MULTIPOLYGON (((140.66025 -38.06256, 140.66006...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Western Australia</td>\n",
       "      <td>WA</td>\n",
       "      <td>2.526632e+06</td>\n",
       "      <td>http://linked.data.gov.au/dataset/asgsed3/STE/5</td>\n",
       "      <td>MULTIPOLYGON (((117.86953 -35.19108, 117.86961...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Tasmania</td>\n",
       "      <td>TAS</td>\n",
       "      <td>6.801754e+04</td>\n",
       "      <td>http://linked.data.gov.au/dataset/asgsed3/STE/6</td>\n",
       "      <td>MULTIPOLYGON (((144.60439 -41.01001, 144.60443...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Northern Territory</td>\n",
       "      <td>NT</td>\n",
       "      <td>1.348134e+06</td>\n",
       "      <td>http://linked.data.gov.au/dataset/asgsed3/STE/7</td>\n",
       "      <td>MULTIPOLYGON (((133.02818 -10.90839, 133.02982...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Australian Capital Territory</td>\n",
       "      <td>ACT</td>\n",
       "      <td>2.358133e+03</td>\n",
       "      <td>http://linked.data.gov.au/dataset/asgsed3/STE/8</td>\n",
       "      <td>POLYGON ((149.06239 -35.15910, 149.09134 -35.1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Other Territories</td>\n",
       "      <td>OT</td>\n",
       "      <td>2.557420e+02</td>\n",
       "      <td>http://linked.data.gov.au/dataset/asgsed3/STE/9</td>\n",
       "      <td>MULTIPOLYGON (((167.94747 -29.12757, 167.94748...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     STE_NAME21 ABBREV    AREASQKM21  \\\n",
       "0               New South Wales    NSW  8.007977e+05   \n",
       "1                      Victoria    VIC  2.274962e+05   \n",
       "2                    Queensland    QLD  1.730171e+06   \n",
       "3               South Australia     SA  9.842314e+05   \n",
       "4             Western Australia     WA  2.526632e+06   \n",
       "5                      Tasmania    TAS  6.801754e+04   \n",
       "6            Northern Territory     NT  1.348134e+06   \n",
       "7  Australian Capital Territory    ACT  2.358133e+03   \n",
       "8             Other Territories     OT  2.557420e+02   \n",
       "\n",
       "                                        LOCI_URI21  \\\n",
       "0  http://linked.data.gov.au/dataset/asgsed3/STE/1   \n",
       "1  http://linked.data.gov.au/dataset/asgsed3/STE/2   \n",
       "2  http://linked.data.gov.au/dataset/asgsed3/STE/3   \n",
       "3  http://linked.data.gov.au/dataset/asgsed3/STE/4   \n",
       "4  http://linked.data.gov.au/dataset/asgsed3/STE/5   \n",
       "5  http://linked.data.gov.au/dataset/asgsed3/STE/6   \n",
       "6  http://linked.data.gov.au/dataset/asgsed3/STE/7   \n",
       "7  http://linked.data.gov.au/dataset/asgsed3/STE/8   \n",
       "8  http://linked.data.gov.au/dataset/asgsed3/STE/9   \n",
       "\n",
       "                                            geometry  \n",
       "0  MULTIPOLYGON (((159.06230 -31.50886, 159.06218...  \n",
       "1  MULTIPOLYGON (((146.29286 -39.15778, 146.29341...  \n",
       "2  MULTIPOLYGON (((142.53140 -10.68301, 142.53072...  \n",
       "3  MULTIPOLYGON (((140.66025 -38.06256, 140.66006...  \n",
       "4  MULTIPOLYGON (((117.86953 -35.19108, 117.86961...  \n",
       "5  MULTIPOLYGON (((144.60439 -41.01001, 144.60443...  \n",
       "6  MULTIPOLYGON (((133.02818 -10.90839, 133.02982...  \n",
       "7  POLYGON ((149.06239 -35.15910, 149.09134 -35.1...  \n",
       "8  MULTIPOLYGON (((167.94747 -29.12757, 167.94748...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gdf"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afe5b8fc",
   "metadata": {},
   "source": [
    "Note: For relatively coarse spatial resolution datasets it can be necessary to drop row 8 (Other Territories) and even row 7 (ACT) because the there are no grid cells whose centre falls within those shapes (which can cause an error with some spatial aggregation routines).\n",
    "\n",
    "```python\n",
    "gdf = gdf.drop([7, 8])\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f036a4f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gdf.plot(\n",
    "    figsize=[5, 5],\n",
    "    column='STE_NAME21',\n",
    "    cmap='tab10',\n",
    "    legend=True,\n",
    "    linewidth=0.5,\n",
    "    edgecolor='black',\n",
    "    legend_kwds={'loc': 'right', 'bbox_to_anchor': (1.7, 0.5)},\n",
    ")\n",
    "plt.xlabel('Longitude')\n",
    "plt.ylabel('Latitude')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c3ecba46",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}