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robbibt/Expanded_AOI_gridspec_tiles.ipynb

Last active January 25, 2024 03:34
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Generating GridSpec summary tile grid for expanded DEA AOI
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Expanded_AOI_gridspec_tiles.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "f513bde6-2399-41a3-a247-c92ad43b654b",
"metadata": {
"tags": []
},
"source": [
"# Expanded AOI gridspec and summary tile grid"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "37c4759d-5def-4bd8-97a2-47c7110cf5f6",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import geopandas as gpd\n",
"import numpy as np\n",
"\n",
"from odc.geo.data import ocean_geom\n",
"from odc.geo.geom import BoundingBox\n",
"from odc.geo.types import xy_\n",
"from odc.geo.gridspec import GridSpec"
]
},
{
"cell_type": "markdown",
"id": "c21a8fef-73ec-4acd-86bd-0e19c1f5afc8",
"metadata": {},
"source": [
"## Current C3 summary product grid"
]
},
{
"cell_type": "markdown",
"id": "1ac90817-ca6b-4fe4-9b8b-33b00f7cba26",
"metadata": {},
"source": [
"Create GridSpec:"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "566b91aa-4d30-441d-b374-6e0be2a60d75",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"GridSpec(crs=EPSG:3577, tile_shape=Shape2d(x=3200, y=3200), resolution=Resolution(x=30, y=-30))"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Create 96 km tiles using gridspec, setting origin in south-west corner to\n",
"# preserve positive indices\n",
"gs_c3 = GridSpec(\n",
" crs=\"EPSG:3577\",\n",
" resolution=30,\n",
" tile_shape=(3200, 3200),\n",
" origin=xy_(-2688000, -5472000),\n",
")\n",
"gs_c3"
]
},
{
"cell_type": "markdown",
"id": "71976471-ff6b-458c-ae8c-5f278f2df661",
"metadata": {},
"source": [
"Print example tile from gridspec:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "376ed116-b829-41dd-8108-b914a42adb63",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"image/svg+xml": [
"<?xml version=\"1.0\" encoding=\"utf-8\"?>\n",
"<svg xmlns=\"http://www.w3.org/2000/svg\"\n",
" xmlns:xlink=\"http://www.w3.org/1999/xlink\"\n",
" width=\"360\" height=\"292\"\n",
" viewBox=\"0 0 360 292\"\n",
" preserveAspectRatio=\"xMinYMin meet\">\n",
"<g transform=\"matrix(207.6347334999541,0,0,-207.6347334999541,-20398.883472586775,-9529.551794993578)\">\n",
"<path fill-rule=\"evenodd\"\n",
" fill=\"#CCCCCC\"\n",
" opacity=\"1\"\n",
" stroke=\"#555555\"\n",
" stroke-width=\"0.004816149895268949\"\n",
" stroke-opacity=\"0.9\"\n",
" d=\"M97.244,-44.896L100.978,-44.896L100.978,-48.302L97.244,-48.302L97.244,-44.896z\"/>\n",
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" <details>\n",
" <summary>WKT</summary>\n",
" <div class=\"wkt\">PROJCRS[\"GDA94&nbsp;/&nbsp;Australian&nbsp;Albers\",<br/>&nbsp;&nbsp;&nbsp;&nbsp;BASEGEOGCRS[\"GDA94\",<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;DATUM[\"Geocentric&nbsp;Datum&nbsp;of&nbsp;Australia&nbsp;1994\",<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ELLIPSOID[\"GRS&nbsp;1980\",6378137,298.257222101,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;LENGTHUNIT[\"metre\",1]]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PRIMEM[\"Greenwich\",0,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ANGLEUNIT[\"degree\",0.0174532925199433]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",4283]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;CONVERSION[\"Australian&nbsp;Albers\",<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;METHOD[\"Albers&nbsp;Equal&nbsp;Area\",<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",9822]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PARAMETER[\"Latitude&nbsp;of&nbsp;false&nbsp;origin\",0,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ANGLEUNIT[\"degree\",0.0174532925199433],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",8821]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PARAMETER[\"Longitude&nbsp;of&nbsp;false&nbsp;origin\",132,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ANGLEUNIT[\"degree\",0.0174532925199433],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",8822]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PARAMETER[\"Latitude&nbsp;of&nbsp;1st&nbsp;standard&nbsp;parallel\",-18,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ANGLEUNIT[\"degree\",0.0174532925199433],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",8823]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PARAMETER[\"Latitude&nbsp;of&nbsp;2nd&nbsp;standard&nbsp;parallel\",-36,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ANGLEUNIT[\"degree\",0.0174532925199433],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",8824]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PARAMETER[\"Easting&nbsp;at&nbsp;false&nbsp;origin\",0,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;LENGTHUNIT[\"metre\",1],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",8826]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PARAMETER[\"Northing&nbsp;at&nbsp;false&nbsp;origin\",0,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;LENGTHUNIT[\"metre\",1],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",8827]]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;CS[Cartesian,2],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;AXIS[\"(E)\",east,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ORDER[1],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;LENGTHUNIT[\"metre\",1]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;AXIS[\"(N)\",north,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ORDER[2],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;LENGTHUNIT[\"metre\",1]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;USAGE[<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;SCOPE[\"Statistical&nbsp;analysis.\"],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;AREA[\"Australia&nbsp;-&nbsp;Australian&nbsp;Capital&nbsp;Territory;&nbsp;New&nbsp;South&nbsp;Wales;&nbsp;Northern&nbsp;Territory;&nbsp;Queensland;&nbsp;South&nbsp;Australia;&nbsp;Tasmania;&nbsp;Western&nbsp;Australia;&nbsp;Victoria.\"],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;BBOX[-43.7,112.85,-9.86,153.69]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",3577]]</div>\n",
" </details>\n",
" </div>"
],
"text/plain": [
"GeoBox((3200, 3200), Affine(30.0, 0.0, -2688000.0,\n",
" 0.0, -30.0, -5376000.0), CRS('EPSG:3577'))"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gs_c3[0, 0]"
]
},
{
"cell_type": "markdown",
"id": "755fac5f-666c-403c-b02c-4234b698f32f",
"metadata": {
"tags": []
},
"source": [
"Export as vector tile grid:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "f68a5b0f-10e1-4dd1-8751-e878b79d282a",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# Define a bounding box to extract vector tiles for\n",
"bbox_c3 = BoundingBox(\n",
" left=-2400000, bottom=-5088000, right=2784000, top=-864000, crs=\"EPSG:3577\"\n",
")\n",
"\n",
"# Convert gridspec to geopandas.DataFrame\n",
"grid_gdf = gpd.GeoDataFrame.from_features(gs_c3.geojson(bbox=bbox_c3), crs=\"EPSG:4326\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "7b1923e4-d02a-4549-8bf2-62814fc94c48",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"(-6088000.0, 136000.0)"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Update column names to match current C3 grid formatting\n",
"grid_gdf[[\"ix\", \"iy\"]] = grid_gdf.idx.str.split(\",\", expand=True).astype(int)\n",
"grid_gdf[\"region_code\"] = (\n",
" \"x\"\n",
" + grid_gdf.ix.astype(str).str.zfill(2)\n",
" + \"y\"\n",
" + grid_gdf.iy.astype(str).str.zfill(2)\n",
")\n",
"\n",
"# Drop idx column and export to GeoJSON\n",
"grid_gdf[[\"region_code\", \"ix\", \"iy\", \"geometry\"]].to_file(\"grid_c3.geojson\")\n",
"\n",
"# Plot \n",
"ax = gpd.GeoSeries(ocean_geom().to_crs(\"EPSG:3577\").geom).plot(color=\"lightblue\")\n",
"grid_gdf.to_crs(\"EPSG:3577\").plot(ax=ax, color=\"None\", lw=0.2)\n",
"ax.set_xlim(bbox_c3.left - 1000000, bbox_c3.right + 2000000)\n",
"ax.set_ylim(bbox_c3.bottom - 1000000, bbox_c3.top + 1000000)"
]
},
{
"cell_type": "markdown",
"id": "7648ee6b-1421-4eed-a7df-6b647a1bd63b",
"metadata": {
"tags": []
},
"source": [
"## Potential Expanded AOI summary tile grid\n",
"First create bounding boxes for both our current C3 grid, and the \"projected bounds\" of Australian Albers:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "7a3d8f68-ddf9-4023-a98f-3c4425b2bbe0",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"# Original C3 bounding box\n",
"bbox_c3 = BoundingBox(\n",
" left=-2400000, bottom=-5088000, right=2784000, top=-864000, crs=\"EPSG:3577\"\n",
")\n",
"\n",
"# Valid Albers extent (via \"Projected bounds\": https://epsg.io/3577)\n",
"bbox_albers = BoundingBox(\n",
" left=-4333787.35,\n",
" bottom=-6902463.77,\n",
" right=4632144.16,\n",
" top=-885076.06,\n",
" crs=\"EPSG:3577\",\n",
")"
]
},
{
"cell_type": "markdown",
"id": "2798f921-cb2e-4598-bcf7-ad7962ec35c1",
"metadata": {},
"source": [
"Create a new Expanded AOI bounding box aligned with our current C3 grid:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "076033b1-1fb5-4e82-91e8-0fab817c7367",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"BoundingBox(left=-4416000.0, bottom=-6912000.0, right=4704000.0, top=-864000.0, crs=CRS('EPSG:3577'))"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Calculate number of additional 96 km tiles required to expand current\n",
"# C3 grid, rounding up to provide a buffer\n",
"tile_offset_w = np.ceil(((bbox_c3.left - bbox_albers.left) / 96000))\n",
"tile_offset_s = np.ceil(((bbox_c3.bottom - bbox_albers.bottom) / 96000))\n",
"tile_offset_e = np.ceil(((bbox_albers.right - bbox_c3.right) / 96000))\n",
"tile_offset_n = np.ceil(((bbox_albers.top - bbox_c3.top) / 96000))\n",
"\n",
"# Calculate new bottom left origin point and upper right corner using\n",
"# numbers of additional required tiles\n",
"w_expanded = bbox_c3.left - (tile_offset_w * 96000)\n",
"s_expanded = bbox_c3.bottom - (tile_offset_s * 96000)\n",
"e_expanded = bbox_c3.right + (tile_offset_e * 96000)\n",
"n_expanded = bbox_c3.top + (tile_offset_n * 96000)\n",
"\n",
"# Example expanded AOI\n",
"bbox_expanded = BoundingBox(\n",
" left=w_expanded,\n",
" bottom=s_expanded,\n",
" right=e_expanded,\n",
" top=n_expanded,\n",
" crs=\"EPSG:3577\",\n",
")\n",
"bbox_expanded"
]
},
{
"cell_type": "markdown",
"id": "a655945a-f7e8-42ac-ae57-624195e7067c",
"metadata": {},
"source": [
"Create a new Expanded AOI tile grid Gridspec, and export to file/plot:"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "32e997f6-b64e-4148-b397-1a2f744fab80",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"(-7912000.0, 136000.0)"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Create 96 km tiles using gridspec using new origin point\n",
"gs_expanded = GridSpec(\n",
" crs=\"EPSG:3577\",\n",
" resolution=30,\n",
" tile_shape=(3200, 3200),\n",
" origin=xy_(w_expanded, s_expanded),\n",
")\n",
"\n",
"# Convert gridspec to geopandas.DataFrame\n",
"grid_gdf = gpd.GeoDataFrame.from_features(\n",
" gs_expanded.geojson(bbox=bbox_expanded), crs=\"EPSG:4326\"\n",
")\n",
"\n",
"# Update column names to match current C3 grid formatting\n",
"grid_gdf[[\"ix\", \"iy\"]] = grid_gdf.idx.str.split(\",\", expand=True).astype(int)\n",
"grid_gdf[\"region_code\"] = (\n",
" \"x\"\n",
" + grid_gdf.ix.astype(str).str.zfill(2)\n",
" + \"y\"\n",
" + grid_gdf.iy.astype(str).str.zfill(2)\n",
")\n",
"\n",
"# Drop idx column and export to GeoJSON\n",
"grid_gdf[[\"region_code\", \"ix\", \"iy\", \"geometry\"]].to_file(\"grid_expanded.geojson\")\n",
"\n",
"# Plot\n",
"ax = gpd.GeoSeries(ocean_geom().to_crs(\"EPSG:3577\").geom).plot(color=\"lightblue\")\n",
"grid_gdf.to_crs(\"EPSG:3577\").plot(ax=ax, color=\"None\", lw=0.2)\n",
"ax.set_xlim(bbox_expanded.left - 1000000, bbox_expanded.right + 2000000)\n",
"ax.set_ylim(bbox_expanded.bottom - 1000000, bbox_expanded.top + 1000000)"
]
},
{
"cell_type": "markdown",
"id": "1568d53c-3ef5-4c3e-951e-4815077b3190",
"metadata": {},
"source": [
"Preview the new 0, 0 origin point:"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "c7d897ec-ad2a-40a4-9098-ace0695a0d34",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
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" width=\"360\" height=\"292\"\n",
" viewBox=\"0 0 360 292\"\n",
" preserveAspectRatio=\"xMinYMin meet\">\n",
"<g transform=\"matrix(175.27244123140304,0,0,-175.27244123140304,-12419.951946240446,-9292.41126820801)\">\n",
"<path fill-rule=\"evenodd\"\n",
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" opacity=\"1\"\n",
" stroke=\"#555555\"\n",
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"<div class=\"row\"><div class=\"column\">Resolution</div><div class=\"column value\">30m</div></div>\n",
"<div class=\"row\"><div class=\"column\">Cell</div><div class=\"column value\">500px</div></div>\n",
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" <details>\n",
" <summary>WKT</summary>\n",
" <div class=\"wkt\">PROJCRS[\"GDA94&nbsp;/&nbsp;Australian&nbsp;Albers\",<br/>&nbsp;&nbsp;&nbsp;&nbsp;BASEGEOGCRS[\"GDA94\",<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;DATUM[\"Geocentric&nbsp;Datum&nbsp;of&nbsp;Australia&nbsp;1994\",<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ELLIPSOID[\"GRS&nbsp;1980\",6378137,298.257222101,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;LENGTHUNIT[\"metre\",1]]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PRIMEM[\"Greenwich\",0,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ANGLEUNIT[\"degree\",0.0174532925199433]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",4283]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;CONVERSION[\"Australian&nbsp;Albers\",<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;METHOD[\"Albers&nbsp;Equal&nbsp;Area\",<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",9822]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PARAMETER[\"Latitude&nbsp;of&nbsp;false&nbsp;origin\",0,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ANGLEUNIT[\"degree\",0.0174532925199433],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",8821]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PARAMETER[\"Longitude&nbsp;of&nbsp;false&nbsp;origin\",132,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ANGLEUNIT[\"degree\",0.0174532925199433],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",8822]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PARAMETER[\"Latitude&nbsp;of&nbsp;1st&nbsp;standard&nbsp;parallel\",-18,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ANGLEUNIT[\"degree\",0.0174532925199433],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",8823]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PARAMETER[\"Latitude&nbsp;of&nbsp;2nd&nbsp;standard&nbsp;parallel\",-36,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ANGLEUNIT[\"degree\",0.0174532925199433],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",8824]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PARAMETER[\"Easting&nbsp;at&nbsp;false&nbsp;origin\",0,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;LENGTHUNIT[\"metre\",1],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",8826]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;PARAMETER[\"Northing&nbsp;at&nbsp;false&nbsp;origin\",0,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;LENGTHUNIT[\"metre\",1],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",8827]]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;CS[Cartesian,2],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;AXIS[\"(E)\",east,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ORDER[1],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;LENGTHUNIT[\"metre\",1]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;AXIS[\"(N)\",north,<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ORDER[2],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;LENGTHUNIT[\"metre\",1]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;USAGE[<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;SCOPE[\"Statistical&nbsp;analysis.\"],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;AREA[\"Australia&nbsp;-&nbsp;Australian&nbsp;Capital&nbsp;Territory;&nbsp;New&nbsp;South&nbsp;Wales;&nbsp;Northern&nbsp;Territory;&nbsp;Queensland;&nbsp;South&nbsp;Australia;&nbsp;Tasmania;&nbsp;Western&nbsp;Australia;&nbsp;Victoria.\"],<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;BBOX[-43.7,112.85,-9.86,153.69]],<br/>&nbsp;&nbsp;&nbsp;&nbsp;ID[\"EPSG\",3577]]</div>\n",
" </details>\n",
" </div>"
],
"text/plain": [
"GeoBox((3200, 3200), Affine(30.0, 0.0, -4416000.0,\n",
" 0.0, -30.0, -6816000.0), CRS('EPSG:3577'))"
]
},
"execution_count": 9,
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],
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