Spaces:
Running
Running
wip
Browse files- difference.ipynb +176 -32
- preprocess.ipynb +152 -90
difference.ipynb
CHANGED
@@ -2,24 +2,14 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count":
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"id": "00982ea4-b630-4233-b6df-354af3498ed2",
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"metadata": {},
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"outputs": [],
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"source": [
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"import ibis"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "e84709ab-1b47-49ee-8cbd-8aa69744b6c3",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "
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"version_major": 2,
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"version_minor": 0
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},
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@@ -33,7 +23,7 @@
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "
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"version_major": 2,
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@@ -43,6 +33,78 @@
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},
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"metadata": {},
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"output_type": "display_data"
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"source": [
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@@ -57,23 +119,50 @@
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" # .filter(_.UNIT_NAME == \"Angeles National Forest\")\n",
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" .filter(_.reGAP < 3) \n",
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")\n",
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"
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"conn.create_table(\"
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"
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"\n",
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"conn.disconnect()"
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]
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "121c3cad-680c-4f3a-9075-638711ea1634",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "
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"version_major": 2,
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"version_minor": 0
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},
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@@ -88,13 +177,15 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"CPU times: user
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"Wall time:
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]
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}
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],
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"source": [
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"%%time\n",
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"import duckdb\n",
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"db = duckdb.connect(\"tmp2\")\n",
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"db.install_extension(\"spatial\")\n",
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@@ -116,35 +207,67 @@
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "
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"metadata": {},
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"outputs": [],
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"source": [
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]
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "
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"metadata": {},
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"outputs": [],
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"source": [
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"conn = ibis.duckdb.connect(\"tmp2\", extensions=[\"spatial\"])\n",
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"gdf = conn.table(\"diff\").mutate(geom = _.geom.convert(\"epsg:3310\",\"epsg:4326\")).execute()"
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]
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},
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{
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"cell_type": "code",
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"execution_count":
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"id": "
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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-
"model_id": "
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"version_major": 2,
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"version_minor": 1
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},
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@@ -152,16 +275,37 @@
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"Map(height='600px', map_options={'bearing': 0, 'center': (0, 20), 'pitch': 0, 'style': 'https://basemaps.carto…"
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]
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},
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"execution_count":
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import leafmap.maplibregl as leafmap\n",
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"m = leafmap.Map()\n",
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"m.add_gdf(gdf)\n",
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"m\n"
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]
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},
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{
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"metadata": {},
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"outputs": [],
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"source": [
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"\"TO 'new2024.geojson' WITH (FORMAT GDAL, DRIVER 'GeoJSON', LAYER_CREATION_OPTIONS 'WRITE_BBOX=YES')\""
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]
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}
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],
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 21,
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"id": "e84709ab-1b47-49ee-8cbd-8aa69744b6c3",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "c4382edb57b643e6907b0314c79387bd",
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"version_major": 2,
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"version_minor": 0
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},
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "b4ae3a5cd5f84c5b86fdcd767d330adf",
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"version_major": 2,
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"version_minor": 0
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},
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [
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"<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">DatabaseTable: tmp2.main.t2\n",
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" gid int64\n",
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" cpad_ACCESS_TYP string\n",
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" cpad_PARK_NAME string\n",
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" cpad_MNG_AGENCY string\n",
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" cpad_MNG_AG_LEV string\n",
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" reGAP int16\n",
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" Easement int16\n",
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" TYPE string\n",
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" CA_County_Name string\n",
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" CA_Region_Name string\n",
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" TerrMar string\n",
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" CA_Ecoregion_Name string\n",
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" ACCESS_TYP string\n",
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" MNG_AGNCY string\n",
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" MNG_AG_LEV string\n",
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" UNIT_NAME string\n",
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" DefaultSelection string\n",
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" CA_Ecoregion_Acres float32\n",
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" CA_Region_Acres float32\n",
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" CA_County_Acres float32\n",
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" Acres float32\n",
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" CA_Marine_Acres float32\n",
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" Release_Year int16\n",
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" mgmt_stack string\n",
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" geom geospatial:geometry\n",
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" SHAPE_bbox xmin: float32\n",
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" ymin: float32\n",
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" xmax: float32\n",
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" ymax: float32\n",
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"</pre>\n"
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],
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"text/plain": [
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"DatabaseTable: tmp2.main.t2\n",
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" gid int64\n",
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" cpad_ACCESS_TYP string\n",
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" cpad_PARK_NAME string\n",
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" cpad_MNG_AGENCY string\n",
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" cpad_MNG_AG_LEV string\n",
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" reGAP int16\n",
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" Easement int16\n",
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" TYPE string\n",
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" CA_County_Name string\n",
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" CA_Region_Name string\n",
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" TerrMar string\n",
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" CA_Ecoregion_Name string\n",
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" ACCESS_TYP string\n",
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" MNG_AGNCY string\n",
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" MNG_AG_LEV string\n",
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" UNIT_NAME string\n",
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" DefaultSelection string\n",
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" CA_Ecoregion_Acres float32\n",
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" CA_Region_Acres float32\n",
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" CA_County_Acres float32\n",
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" Acres float32\n",
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" CA_Marine_Acres float32\n",
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" Release_Year int16\n",
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" mgmt_stack string\n",
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" geom geospatial:geometry\n",
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" SHAPE_bbox xmin: float32\n",
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" ymin: float32\n",
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" xmax: float32\n",
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" ymax: float32"
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]
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},
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"execution_count": 21,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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" # .filter(_.UNIT_NAME == \"Angeles National Forest\")\n",
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" .filter(_.reGAP < 3) \n",
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")\n",
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"conn.create_table(\"t1\", tbl.filter(_.Release_Year == 2024), overwrite = True)\n",
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"conn.create_table(\"t2\", tbl.filter(_.Release_Year == 2023), overwrite = True)\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"id": "303792ac-9b1d-41b2-a17b-5cf855d70633",
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"metadata": {},
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"outputs": [],
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"source": [
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"ca2024 = conn.table(\"t1\").execute()\n",
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"ca2023 = conn.table(\"t2\").execute()\n",
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"\n",
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"import leafmap.maplibregl as leafmap\n",
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"m = leafmap.Map()\n",
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"m.add_gdf(ca2024, name = \"2024\")\n",
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"m.add_gdf(ca2023, name =\"2023\")\n",
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"\n",
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"m"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9fdd2ed2-623f-479c-b0b7-7c723f3f6728",
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"conn.disconnect()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "121c3cad-680c-4f3a-9075-638711ea1634",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "c69a096d24974e9ea8ad3d5b937b723a",
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"version_major": 2,
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"version_minor": 0
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},
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"CPU times: user 22min 10s, sys: 43 s, total: 22min 53s\n",
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"Wall time: 11min 47s\n"
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]
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}
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],
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"source": [
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"%%time\n",
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"\n",
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"## RUN this on a machine with a whole lot of RAM. consider filtering federal/non-federal first.\n",
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"import duckdb\n",
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"db = duckdb.connect(\"tmp2\")\n",
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"db.install_extension(\"spatial\")\n",
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "cf3d3e5b-2ff1-4ef9-a147-01f15e970e49",
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"metadata": {},
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"outputs": [],
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"source": [
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"## Cannot go straight to geoparquet due to M geometries!\n",
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"#db.table(\"diff\").to_parquet(\"diff.parquet\")\n",
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"\n",
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"## This doesn't work either: \n",
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"#db.sql('''CREATE OR REPLACE TABLE diff2024 AS SELECT *, st_force2d(geom) AS geom FROM diff''')\n",
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"\n",
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"## We could cast geom as blob...."
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]
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},
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{
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"cell_type": "code",
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+
"execution_count": 10,
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"id": "308dc665-1323-4e9b-bc2d-69201c325c4b",
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"metadata": {},
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"outputs": [],
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"source": [
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"# F*ck it. Let's do it all in RAM via geopandas, which drops M geoms due to a fortunate bug! \n",
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"conn = ibis.duckdb.connect(\"tmp2\", extensions=[\"spatial\"])\n",
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"gdf = conn.table(\"diff\").mutate(geom = _.geom.convert(\"epsg:3310\",\"epsg:4326\")).execute()\n",
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"gdf.to_parquet(\"ca2024_diffs.parquet\")\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"id": "063a11d8-15d7-4b91-b67c-3ccae3edcc8d",
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"metadata": {},
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"outputs": [],
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"source": [
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"# stash in our team S3 storage \n",
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"\n",
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"import streamlit as st\n",
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"from minio import Minio\n",
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"import os\n",
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"# Get signed URLs to access license-controlled layers\n",
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"key = st.secrets[\"MINIO_KEY\"]\n",
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"secret = st.secrets[\"MINIO_SECRET\"]\n",
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"client = Minio(\"minio.carlboettiger.info\", key, secret, secure=True)\n",
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"\n",
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"size = os.path.getsize(\"ca2024_diffs.parquet\")\n",
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"with open(\"ca2024_diffs.parquet\", \"rb\") as file_data:\n",
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" client.put_object(\"public-biodiversity\", \"ca30x30/ca2024_diffs.parquet\", file_data, length = size)\n",
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"\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"id": "34425101-0592-42fd-9d62-22c9e7a6d6ac",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "c5cc696c15374d519fb940e054a902f0",
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"version_major": 2,
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"version_minor": 1
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},
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"Map(height='600px', map_options={'bearing': 0, 'center': (0, 20), 'pitch': 0, 'style': 'https://basemaps.carto…"
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]
|
277 |
},
|
278 |
+
"execution_count": 26,
|
279 |
"metadata": {},
|
280 |
"output_type": "execute_result"
|
281 |
}
|
282 |
],
|
283 |
"source": [
|
284 |
+
"# can read from S3 and plot the whole thing. Note gdf has no metadata.\n",
|
285 |
+
"\n",
|
286 |
"import leafmap.maplibregl as leafmap\n",
|
287 |
+
"import ibis\n",
|
288 |
+
"conn = ibis.duckdb.connect(extensions=[\"spatial\"])\n",
|
289 |
+
"gdf = conn.read_parquet(\"https://minio.carlboettiger.info/public-biodiversity/ca30x30/ca2024_diffs.parquet\").execute()\n",
|
290 |
"m = leafmap.Map()\n",
|
291 |
"m.add_gdf(gdf)\n",
|
292 |
+
"#m.to_html(\"ca2024.html\")\n",
|
293 |
+
"m"
|
294 |
+
]
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"cell_type": "code",
|
298 |
+
"execution_count": 25,
|
299 |
+
"id": "17af39a0-9a69-4bfa-9084-d7b26adf74fc",
|
300 |
+
"metadata": {},
|
301 |
+
"outputs": [],
|
302 |
+
"source": [
|
303 |
+
"path = \"ca2024.html\"\n",
|
304 |
+
"size = os.path.getsize(path)\n",
|
305 |
+
"with open(path, \"rb\") as file_data:\n",
|
306 |
+
" client.put_object(\"public-biodiversity\", \"ca30x30/\"+path, file_data, length = size)\n",
|
307 |
+
"\n",
|
308 |
+
"\n"
|
309 |
]
|
310 |
},
|
311 |
{
|
|
|
315 |
"metadata": {},
|
316 |
"outputs": [],
|
317 |
"source": [
|
318 |
+
"# \"TO 'new2024.geojson' WITH (FORMAT GDAL, DRIVER 'GeoJSON', LAYER_CREATION_OPTIONS 'WRITE_BBOX=YES')\""
|
319 |
]
|
320 |
}
|
321 |
],
|
preprocess.ipynb
CHANGED
@@ -31,32 +31,63 @@
|
|
31 |
"metadata": {},
|
32 |
"outputs": [],
|
33 |
"source": [
|
34 |
-
"buffer = -
|
35 |
"\n",
|
36 |
"tbl = (\n",
|
37 |
" conn.read_parquet(ca_parquet)\n",
|
38 |
" .cast({\"SHAPE\": \"geometry\"})\n",
|
39 |
" .rename(geom = \"SHAPE\")\n",
|
40 |
-
"
|
41 |
" .filter(_.reGAP < 3) \n",
|
42 |
")\n",
|
43 |
"tbl_2023 = tbl.filter(_.Release_Year == 2023).mutate(geom=_.geom.buffer(buffer))\n",
|
44 |
"tbl_2024 = tbl.filter(_.Release_Year == 2024)\n",
|
45 |
"intersects = tbl_2024.anti_join(tbl_2023, _.geom.intersects(tbl_2023.geom))\n",
|
46 |
-
"\n"
|
47 |
-
"new2024 = intersects.select(\"OBJECTID\").mutate(established = 2024)"
|
48 |
]
|
49 |
},
|
50 |
{
|
51 |
"cell_type": "code",
|
52 |
"execution_count": 3,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
53 |
"id": "275c171a-f82f-4ee8-991c-1e34eb83a33d",
|
54 |
"metadata": {},
|
55 |
"outputs": [
|
56 |
{
|
57 |
"data": {
|
58 |
"application/vnd.jupyter.widget-view+json": {
|
59 |
-
"model_id": "
|
60 |
"version_major": 2,
|
61 |
"version_minor": 0
|
62 |
},
|
@@ -66,9 +97,21 @@
|
|
66 |
},
|
67 |
"metadata": {},
|
68 |
"output_type": "display_data"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
69 |
}
|
70 |
],
|
71 |
"source": [
|
|
|
|
|
|
|
|
|
72 |
"ca = (conn\n",
|
73 |
" .read_parquet(ca_parquet)\n",
|
74 |
" .cast({\"SHAPE\": \"geometry\"})\n",
|
@@ -78,12 +121,61 @@
|
|
78 |
" .left_join(new2024, \"OBJECTID\")\n",
|
79 |
" .mutate(established=_.established.fill_null(2023))\n",
|
80 |
" .mutate(geom = _.SHAPE.convert(\"epsg:3310\",\"epsg:4326\"))\n",
|
81 |
-
" .rename(name = \"
|
82 |
-
" manager_type = \"
|
83 |
" .select(_.established, _.reGAP, _.name, _.access_type, _.manager, _.manager_type,\n",
|
84 |
" _.Easement, _.Acres, _.id, _.type, _.geom)\n",
|
85 |
" )\n",
|
86 |
-
"ca.execute()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
87 |
]
|
88 |
},
|
89 |
{
|
@@ -111,14 +203,6 @@
|
|
111 |
"ca2024 = conn.read_parquet(\"ca2024.parquet\")"
|
112 |
]
|
113 |
},
|
114 |
-
{
|
115 |
-
"cell_type": "markdown",
|
116 |
-
"id": "ebbb2650-4442-4e54-8467-5e681d6fab9e",
|
117 |
-
"metadata": {},
|
118 |
-
"source": [
|
119 |
-
"Using difference (overlap) instead:"
|
120 |
-
]
|
121 |
-
},
|
122 |
{
|
123 |
"cell_type": "code",
|
124 |
"execution_count": 6,
|
@@ -156,88 +240,82 @@
|
|
156 |
" <th>0</th>\n",
|
157 |
" <td>California Department of Fish and Wildlife</td>\n",
|
158 |
" <td>State</td>\n",
|
159 |
-
" <td>
|
160 |
" </tr>\n",
|
161 |
" <tr>\n",
|
162 |
" <th>1</th>\n",
|
163 |
" <td>California Department of Parks and Recreation</td>\n",
|
164 |
" <td>State</td>\n",
|
165 |
-
" <td>
|
166 |
" </tr>\n",
|
167 |
" <tr>\n",
|
168 |
" <th>2</th>\n",
|
169 |
" <td>California Tahoe Conservancy</td>\n",
|
170 |
" <td>State</td>\n",
|
171 |
-
" <td>
|
172 |
" </tr>\n",
|
173 |
" <tr>\n",
|
174 |
" <th>3</th>\n",
|
175 |
" <td>California Department of Water Resources</td>\n",
|
176 |
" <td>State</td>\n",
|
177 |
-
" <td>
|
178 |
" </tr>\n",
|
179 |
" <tr>\n",
|
180 |
" <th>4</th>\n",
|
181 |
-
" <td>University
|
182 |
" <td>State</td>\n",
|
183 |
-
" <td>
|
184 |
" </tr>\n",
|
185 |
" <tr>\n",
|
186 |
" <th>5</th>\n",
|
187 |
-
" <td>
|
188 |
" <td>State</td>\n",
|
189 |
-
" <td>
|
190 |
" </tr>\n",
|
191 |
" <tr>\n",
|
192 |
" <th>6</th>\n",
|
193 |
-
" <td>
|
194 |
" <td>State</td>\n",
|
195 |
-
" <td>
|
196 |
" </tr>\n",
|
197 |
" <tr>\n",
|
198 |
" <th>7</th>\n",
|
199 |
-
" <td>
|
200 |
" <td>State</td>\n",
|
201 |
-
" <td>
|
202 |
" </tr>\n",
|
203 |
" <tr>\n",
|
204 |
" <th>8</th>\n",
|
205 |
-
" <td>California State
|
206 |
" <td>State</td>\n",
|
207 |
-
" <td>
|
208 |
" </tr>\n",
|
209 |
" <tr>\n",
|
210 |
" <th>9</th>\n",
|
211 |
-
" <td>California State
|
212 |
" <td>State</td>\n",
|
213 |
-
" <td>
|
214 |
" </tr>\n",
|
215 |
" <tr>\n",
|
216 |
" <th>10</th>\n",
|
217 |
" <td>Other State</td>\n",
|
218 |
" <td>State</td>\n",
|
219 |
-
" <td>
|
220 |
" </tr>\n",
|
221 |
" <tr>\n",
|
222 |
" <th>11</th>\n",
|
223 |
-
" <td>
|
224 |
" <td>State</td>\n",
|
225 |
-
" <td>1.
|
226 |
" </tr>\n",
|
227 |
" <tr>\n",
|
228 |
" <th>12</th>\n",
|
229 |
-
" <td>
|
230 |
" <td>State</td>\n",
|
231 |
-
" <td>1.
|
232 |
" </tr>\n",
|
233 |
" <tr>\n",
|
234 |
" <th>13</th>\n",
|
235 |
-
" <td>Unknown</td>\n",
|
236 |
-
" <td>State</td>\n",
|
237 |
-
" <td>0.255531</td>\n",
|
238 |
-
" </tr>\n",
|
239 |
-
" <tr>\n",
|
240 |
-
" <th>14</th>\n",
|
241 |
" <td>California State University</td>\n",
|
242 |
" <td>State</td>\n",
|
243 |
" <td>0.021589</td>\n",
|
@@ -252,34 +330,32 @@
|
|
252 |
"1 California Department of Parks and Recreation State \n",
|
253 |
"2 California Tahoe Conservancy State \n",
|
254 |
"3 California Department of Water Resources State \n",
|
255 |
-
"4
|
256 |
-
"5
|
257 |
-
"6
|
258 |
-
"7
|
259 |
-
"8
|
260 |
-
"9
|
261 |
"10 Other State State \n",
|
262 |
-
"11
|
263 |
-
"12
|
264 |
-
"13
|
265 |
-
"14 California State University State \n",
|
266 |
"\n",
|
267 |
" area \n",
|
268 |
-
"0
|
269 |
-
"1
|
270 |
-
"2
|
271 |
-
"3
|
272 |
-
"4
|
273 |
-
"5
|
274 |
-
"6
|
275 |
-
"7
|
276 |
-
"8
|
277 |
-
"9
|
278 |
-
"10
|
279 |
-
"11 1.
|
280 |
-
"12 1.
|
281 |
-
"13 0.
|
282 |
-
"14 0.021589 "
|
283 |
]
|
284 |
},
|
285 |
"execution_count": 6,
|
@@ -302,40 +378,26 @@
|
|
302 |
},
|
303 |
{
|
304 |
"cell_type": "code",
|
305 |
-
"execution_count":
|
306 |
"id": "c62854f6-1456-4207-8c69-53af17970102",
|
307 |
"metadata": {},
|
308 |
-
"outputs": [
|
309 |
-
{
|
310 |
-
"data": {
|
311 |
-
"application/vnd.jupyter.widget-view+json": {
|
312 |
-
"model_id": "10329a95c7b84de4b598f0ccf4c6af20",
|
313 |
-
"version_major": 2,
|
314 |
-
"version_minor": 1
|
315 |
-
},
|
316 |
-
"text/plain": [
|
317 |
-
"Map(height='600px', map_options={'bearing': 0, 'center': (0, 20), 'pitch': 0, 'style': 'https://basemaps.carto…"
|
318 |
-
]
|
319 |
-
},
|
320 |
-
"execution_count": 7,
|
321 |
-
"metadata": {},
|
322 |
-
"output_type": "execute_result"
|
323 |
-
}
|
324 |
-
],
|
325 |
"source": [
|
326 |
-
"gdf = ca2024.filter(_.manager == \"California Department of Parks and Recreation\", _.established== 2024).execute()\n",
|
327 |
"\n",
|
|
|
328 |
"established = {'property': 'established',\n",
|
329 |
" 'type': 'categorical',\n",
|
330 |
" 'stops': [\n",
|
331 |
" [2023, \"#26542C80\"], \n",
|
332 |
-
" [2024, \"#F3AB3D80\"]]\n",
|
333 |
-
" }\n",
|
334 |
"paint = {\"fill-color\": established}\n",
|
335 |
"\n",
|
|
|
336 |
"m = leafmap.Map(style=\"positron\")\n",
|
337 |
-
"m.add_gdf(gdf,layer_type=\"fill\", name = \"
|
|
|
338 |
"m.add_layer_control()\n",
|
|
|
339 |
"m"
|
340 |
]
|
341 |
}
|
|
|
31 |
"metadata": {},
|
32 |
"outputs": [],
|
33 |
"source": [
|
34 |
+
"buffer = -2\n",
|
35 |
"\n",
|
36 |
"tbl = (\n",
|
37 |
" conn.read_parquet(ca_parquet)\n",
|
38 |
" .cast({\"SHAPE\": \"geometry\"})\n",
|
39 |
" .rename(geom = \"SHAPE\")\n",
|
40 |
+
"# .filter(_.UNIT_NAME == \"Angeles National Forest\")\n",
|
41 |
" .filter(_.reGAP < 3) \n",
|
42 |
")\n",
|
43 |
"tbl_2023 = tbl.filter(_.Release_Year == 2023).mutate(geom=_.geom.buffer(buffer))\n",
|
44 |
"tbl_2024 = tbl.filter(_.Release_Year == 2024)\n",
|
45 |
"intersects = tbl_2024.anti_join(tbl_2023, _.geom.intersects(tbl_2023.geom))\n",
|
46 |
+
"\n"
|
|
|
47 |
]
|
48 |
},
|
49 |
{
|
50 |
"cell_type": "code",
|
51 |
"execution_count": 3,
|
52 |
+
"id": "a0b75637-e015-4be4-86e1-c9757ac43d0f",
|
53 |
+
"metadata": {},
|
54 |
+
"outputs": [],
|
55 |
+
"source": [
|
56 |
+
"## Testing, run only on subset data\n",
|
57 |
+
"if False:\n",
|
58 |
+
" gdf = intersects.mutate(geom = _.geom.convert(\"epsg:3310\",\"epsg:4326\")).execute()\n",
|
59 |
+
" gdf_2023 = tbl_2023.mutate(geom = _.geom.convert(\"epsg:3310\",\"epsg:4326\")).execute()\n",
|
60 |
+
" gdf_2024 = tbl_2024.mutate(geom = _.geom.convert(\"epsg:3310\",\"epsg:4326\")).execute()\n",
|
61 |
+
" # gdf = ca2024\n",
|
62 |
+
" established = {'property': 'established',\n",
|
63 |
+
" 'type': 'categorical',\n",
|
64 |
+
" 'stops': [\n",
|
65 |
+
" [2023, \"#26542C80\"], \n",
|
66 |
+
" [2024, \"#F3AB3D80\"]]\n",
|
67 |
+
" }\n",
|
68 |
+
" inter = {\"fill-color\": \"#F3AB3D\"}\n",
|
69 |
+
" p2024 = {\"fill-color\": \"#26542C\"}\n",
|
70 |
+
" p2023 = {\"fill-color\": \"#8B0A1A\"}\n",
|
71 |
+
" \n",
|
72 |
+
" m = leafmap.Map(style=\"positron\")\n",
|
73 |
+
" m.add_gdf(gdf_2024,layer_type=\"fill\", name = \"2024\", paint = p2024)\n",
|
74 |
+
" m.add_gdf(gdf_2023,layer_type=\"fill\", name = \"2023\", paint = p2023)\n",
|
75 |
+
" m.add_gdf(gdf,layer_type=\"fill\", name = \"intersects\", paint = inter)\n",
|
76 |
+
" \n",
|
77 |
+
" m.add_layer_control()\n",
|
78 |
+
" m"
|
79 |
+
]
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"cell_type": "code",
|
83 |
+
"execution_count": 4,
|
84 |
"id": "275c171a-f82f-4ee8-991c-1e34eb83a33d",
|
85 |
"metadata": {},
|
86 |
"outputs": [
|
87 |
{
|
88 |
"data": {
|
89 |
"application/vnd.jupyter.widget-view+json": {
|
90 |
+
"model_id": "f1616caa5ca54678a00caa974721de2b",
|
91 |
"version_major": 2,
|
92 |
"version_minor": 0
|
93 |
},
|
|
|
97 |
},
|
98 |
"metadata": {},
|
99 |
"output_type": "display_data"
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"name": "stdout",
|
103 |
+
"output_type": "stream",
|
104 |
+
"text": [
|
105 |
+
"CPU times: user 55min 28s, sys: 2.94 s, total: 55min 31s\n",
|
106 |
+
"Wall time: 22min 6s\n"
|
107 |
+
]
|
108 |
}
|
109 |
],
|
110 |
"source": [
|
111 |
+
"%%time\n",
|
112 |
+
"\n",
|
113 |
+
"new2024 = intersects.select(\"OBJECTID\").mutate(established = 2024)\n",
|
114 |
+
"\n",
|
115 |
"ca = (conn\n",
|
116 |
" .read_parquet(ca_parquet)\n",
|
117 |
" .cast({\"SHAPE\": \"geometry\"})\n",
|
|
|
121 |
" .left_join(new2024, \"OBJECTID\")\n",
|
122 |
" .mutate(established=_.established.fill_null(2023))\n",
|
123 |
" .mutate(geom = _.SHAPE.convert(\"epsg:3310\",\"epsg:4326\"))\n",
|
124 |
+
" .rename(name = \"cpad_PARK_NAME\", access_type = \"cpad_ACCESS_TYP\", manager = \"cpad_MNG_AGENCY\",\n",
|
125 |
+
" manager_type = \"cpad_MNG_AG_LEV\", id = \"OBJECTID\", type = \"TYPE\")\n",
|
126 |
" .select(_.established, _.reGAP, _.name, _.access_type, _.manager, _.manager_type,\n",
|
127 |
" _.Easement, _.Acres, _.id, _.type, _.geom)\n",
|
128 |
" )\n",
|
129 |
+
"ca2024 = ca.execute()\n",
|
130 |
+
"\n",
|
131 |
+
"ca2024.to_parquet(\"ca2024.parquet\")"
|
132 |
+
]
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"cell_type": "code",
|
136 |
+
"execution_count": 1,
|
137 |
+
"id": "cfac7aa4-e418-4d7c-91e0-04ff8eae804c",
|
138 |
+
"metadata": {},
|
139 |
+
"outputs": [
|
140 |
+
{
|
141 |
+
"name": "stdout",
|
142 |
+
"output_type": "stream",
|
143 |
+
"text": [
|
144 |
+
"The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.\n",
|
145 |
+
"Token is valid (permission: write).\n",
|
146 |
+
"Your token has been saved to /home/jovyan/.cache/huggingface/token\n",
|
147 |
+
"Login successful\n"
|
148 |
+
]
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"data": {
|
152 |
+
"application/vnd.jupyter.widget-view+json": {
|
153 |
+
"model_id": "9e680dc3991c4c9b808447f04d056f53",
|
154 |
+
"version_major": 2,
|
155 |
+
"version_minor": 0
|
156 |
+
},
|
157 |
+
"text/plain": [
|
158 |
+
"ca2024.parquet: 0%| | 0.00/137M [00:00<?, ?B/s]"
|
159 |
+
]
|
160 |
+
},
|
161 |
+
"metadata": {},
|
162 |
+
"output_type": "display_data"
|
163 |
+
}
|
164 |
+
],
|
165 |
+
"source": [
|
166 |
+
"## Upload to Huggingface\n",
|
167 |
+
"# https://huggingface.co/datasets/boettiger-lab/ca-30x30/\n",
|
168 |
+
"\n",
|
169 |
+
"from huggingface_hub import HfApi, login\n",
|
170 |
+
"import streamlit as st\n",
|
171 |
+
"login(st.secrets[\"HF_TOKEN\"])\n",
|
172 |
+
"api = HfApi()\n",
|
173 |
+
"info = api.upload_file(\n",
|
174 |
+
" path_or_fileobj=\"ca2024.parquet\",\n",
|
175 |
+
" path_in_repo=\"ca2024.parquet\",\n",
|
176 |
+
" repo_id=\"boettiger-lab/ca-30x30\",\n",
|
177 |
+
" repo_type=\"dataset\",\n",
|
178 |
+
" )\n"
|
179 |
]
|
180 |
},
|
181 |
{
|
|
|
203 |
"ca2024 = conn.read_parquet(\"ca2024.parquet\")"
|
204 |
]
|
205 |
},
|
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|
206 |
{
|
207 |
"cell_type": "code",
|
208 |
"execution_count": 6,
|
|
|
240 |
" <th>0</th>\n",
|
241 |
" <td>California Department of Fish and Wildlife</td>\n",
|
242 |
" <td>State</td>\n",
|
243 |
+
" <td>54853.556568</td>\n",
|
244 |
" </tr>\n",
|
245 |
" <tr>\n",
|
246 |
" <th>1</th>\n",
|
247 |
" <td>California Department of Parks and Recreation</td>\n",
|
248 |
" <td>State</td>\n",
|
249 |
+
" <td>21439.451269</td>\n",
|
250 |
" </tr>\n",
|
251 |
" <tr>\n",
|
252 |
" <th>2</th>\n",
|
253 |
" <td>California Tahoe Conservancy</td>\n",
|
254 |
" <td>State</td>\n",
|
255 |
+
" <td>6119.753048</td>\n",
|
256 |
" </tr>\n",
|
257 |
" <tr>\n",
|
258 |
" <th>3</th>\n",
|
259 |
" <td>California Department of Water Resources</td>\n",
|
260 |
" <td>State</td>\n",
|
261 |
+
" <td>4033.217739</td>\n",
|
262 |
" </tr>\n",
|
263 |
" <tr>\n",
|
264 |
" <th>4</th>\n",
|
265 |
+
" <td>California State University Sonoma</td>\n",
|
266 |
" <td>State</td>\n",
|
267 |
+
" <td>3842.054169</td>\n",
|
268 |
" </tr>\n",
|
269 |
" <tr>\n",
|
270 |
" <th>5</th>\n",
|
271 |
+
" <td>University of California</td>\n",
|
272 |
" <td>State</td>\n",
|
273 |
+
" <td>2050.549176</td>\n",
|
274 |
" </tr>\n",
|
275 |
" <tr>\n",
|
276 |
" <th>6</th>\n",
|
277 |
+
" <td>California Department of Forestry and Fire Pro...</td>\n",
|
278 |
" <td>State</td>\n",
|
279 |
+
" <td>1212.712394</td>\n",
|
280 |
" </tr>\n",
|
281 |
" <tr>\n",
|
282 |
" <th>7</th>\n",
|
283 |
+
" <td>Coachella Valley Mountains Conservancy</td>\n",
|
284 |
" <td>State</td>\n",
|
285 |
+
" <td>167.224090</td>\n",
|
286 |
" </tr>\n",
|
287 |
" <tr>\n",
|
288 |
" <th>8</th>\n",
|
289 |
+
" <td>California State Lands Commission</td>\n",
|
290 |
" <td>State</td>\n",
|
291 |
+
" <td>113.344073</td>\n",
|
292 |
" </tr>\n",
|
293 |
" <tr>\n",
|
294 |
" <th>9</th>\n",
|
295 |
+
" <td>California State Coastal Conservancy</td>\n",
|
296 |
" <td>State</td>\n",
|
297 |
+
" <td>97.314705</td>\n",
|
298 |
" </tr>\n",
|
299 |
" <tr>\n",
|
300 |
" <th>10</th>\n",
|
301 |
" <td>Other State</td>\n",
|
302 |
" <td>State</td>\n",
|
303 |
+
" <td>55.542241</td>\n",
|
304 |
" </tr>\n",
|
305 |
" <tr>\n",
|
306 |
" <th>11</th>\n",
|
307 |
+
" <td>California Department of Transportation</td>\n",
|
308 |
" <td>State</td>\n",
|
309 |
+
" <td>1.957490</td>\n",
|
310 |
" </tr>\n",
|
311 |
" <tr>\n",
|
312 |
" <th>12</th>\n",
|
313 |
+
" <td>San Joaquin River Conservancy</td>\n",
|
314 |
" <td>State</td>\n",
|
315 |
+
" <td>1.531470</td>\n",
|
316 |
" </tr>\n",
|
317 |
" <tr>\n",
|
318 |
" <th>13</th>\n",
|
|
|
|
|
|
|
|
|
|
|
|
|
319 |
" <td>California State University</td>\n",
|
320 |
" <td>State</td>\n",
|
321 |
" <td>0.021589</td>\n",
|
|
|
330 |
"1 California Department of Parks and Recreation State \n",
|
331 |
"2 California Tahoe Conservancy State \n",
|
332 |
"3 California Department of Water Resources State \n",
|
333 |
+
"4 California State University Sonoma State \n",
|
334 |
+
"5 University of California State \n",
|
335 |
+
"6 California Department of Forestry and Fire Pro... State \n",
|
336 |
+
"7 Coachella Valley Mountains Conservancy State \n",
|
337 |
+
"8 California State Lands Commission State \n",
|
338 |
+
"9 California State Coastal Conservancy State \n",
|
339 |
"10 Other State State \n",
|
340 |
+
"11 California Department of Transportation State \n",
|
341 |
+
"12 San Joaquin River Conservancy State \n",
|
342 |
+
"13 California State University State \n",
|
|
|
343 |
"\n",
|
344 |
" area \n",
|
345 |
+
"0 54853.556568 \n",
|
346 |
+
"1 21439.451269 \n",
|
347 |
+
"2 6119.753048 \n",
|
348 |
+
"3 4033.217739 \n",
|
349 |
+
"4 3842.054169 \n",
|
350 |
+
"5 2050.549176 \n",
|
351 |
+
"6 1212.712394 \n",
|
352 |
+
"7 167.224090 \n",
|
353 |
+
"8 113.344073 \n",
|
354 |
+
"9 97.314705 \n",
|
355 |
+
"10 55.542241 \n",
|
356 |
+
"11 1.957490 \n",
|
357 |
+
"12 1.531470 \n",
|
358 |
+
"13 0.021589 "
|
|
|
359 |
]
|
360 |
},
|
361 |
"execution_count": 6,
|
|
|
378 |
},
|
379 |
{
|
380 |
"cell_type": "code",
|
381 |
+
"execution_count": null,
|
382 |
"id": "c62854f6-1456-4207-8c69-53af17970102",
|
383 |
"metadata": {},
|
384 |
+
"outputs": [],
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
385 |
"source": [
|
|
|
386 |
"\n",
|
387 |
+
"gdf = ca2024.execute()\n",
|
388 |
"established = {'property': 'established',\n",
|
389 |
" 'type': 'categorical',\n",
|
390 |
" 'stops': [\n",
|
391 |
" [2023, \"#26542C80\"], \n",
|
392 |
+
" [2024, \"#F3AB3D80\"]]}\n",
|
|
|
393 |
"paint = {\"fill-color\": established}\n",
|
394 |
"\n",
|
395 |
+
"\n",
|
396 |
"m = leafmap.Map(style=\"positron\")\n",
|
397 |
+
"m.add_gdf(gdf,layer_type=\"fill\", name = \"intersects\", paint = paint)\n",
|
398 |
+
"\n",
|
399 |
"m.add_layer_control()\n",
|
400 |
+
"m.to_html(\"ca2024.html\")\n",
|
401 |
"m"
|
402 |
]
|
403 |
}
|