{ "cells": [ { "cell_type": "markdown", "id": "4b4adc2a-bf0c-4ace-87be-dbaf90be0125", "metadata": {}, "source": [ "# Pre-processing" ] }, { "cell_type": "code", "execution_count": null, "id": "f7e6298c-d886-432a-a1b7-c3fee914c24f", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [], "source": [ "import ibis\n", "from ibis import _\n", "\n", "conn = ibis.duckdb.connect(\"tmp3\", extensions=[\"spatial\"])\n", "# ca_parquet = \"https://data.source.coop/cboettig/ca30x30/ca_areas.parquet\"\n", "# or use local copy:\n", "ca_parquet = \"ca_areas.parquet\"" ] }, { "cell_type": "code", "execution_count": null, "id": "a3d4f189-1563-4868-9f1f-64d67569df27", "metadata": {}, "outputs": [], "source": [ "# negative buffer to account for overlapping boundaries. \n", "buffer = -30 #30m buffer \n", "\n", "tbl = (\n", " conn.read_parquet(ca_parquet)\n", " .cast({\"SHAPE\": \"geometry\"})\n", " .rename(geom = \"SHAPE\")\n", " .filter(_.reGAP < 3) # only gap 1 and 2 count towards 30x30\n", ")\n", "\n", "# polygons with release_year 2024 are a superset of release_year 2023. \n", "# use anti_join to isolate the objects that are in release_year 2024 but not release_year 2023 (aka newly established). \n", "tbl_2023 = tbl.filter(_.Release_Year == 2023).mutate(geom=_.geom.buffer(buffer)) \n", "tbl_2024 = tbl.filter(_.Release_Year == 2024)\n", "intersects = tbl_2024.anti_join(tbl_2023, _.geom.intersects(tbl_2023.geom))" ] }, { "cell_type": "code", "execution_count": null, "id": "a59c976b-3c36-40f9-a15b-cefcd155c647", "metadata": {}, "outputs": [], "source": [ "%%time\n", "\n", "new2024 = intersects.select(\"OBJECTID\").mutate(established = 2024) # saving IDs to join on\n", "\n", "ca = (conn\n", " .read_parquet(ca_parquet)\n", " .cast({\"SHAPE\": \"geometry\"})\n", " .mutate(area = _.SHAPE.area())\n", " .filter(_.Release_Year == 2024) # having both 2023 and 2024 is redudant since 2024 is the superset.\n", " .left_join(new2024, \"OBJECTID\") # newly established 2024 polygons \n", " .mutate(established=_.established.fill_null(2023)) \n", " .mutate(geom = _.SHAPE.convert(\"epsg:3310\",\"epsg:4326\"))\n", " .rename(name = \"cpad_PARK_NAME\", access_type = \"cpad_ACCESS_TYP\", manager = \"cpad_MNG_AGENCY\",\n", " manager_type = \"cpad_MNG_AG_LEV\", id = \"OBJECTID\", type = \"TYPE\")\n", " .mutate(manager = _.manager.substitute({\"\": \"Unknown\"})) \n", " .mutate(manager_type = _.manager_type.substitute({\"\": \"Unknown\"}))\n", " .mutate(access_type = _.access_type.substitute({\"\": \"Unknown Access\"}))\n", " .mutate(name = _.name.substitute({\"\": \"Unknown\"}))\n", " .select(_.established, _.reGAP, _.name, _.access_type, _.manager, _.manager_type,\n", " _.Easement, _.Acres, _.id, _.type, _.geom)\n", " )\n", "\n", "ca2024 = ca.execute()\n", "ca2024.to_parquet(\"ca2024-30m.parquet\")\n", "ca2024.to_file(\"ca2024-30m.geojson\") # tippecanoe can't parse geoparquet :-(" ] }, { "cell_type": "code", "execution_count": null, "id": "cfac7aa4-e418-4d7c-91e0-04ff8eae804c", "metadata": {}, "outputs": [], "source": [ "## Upload to Huggingface\n", "# https://huggingface.co/datasets/boettiger-lab/ca-30x30/\n", "\n", "from huggingface_hub import HfApi, login\n", "import streamlit as st\n", "login(st.secrets[\"HF_TOKEN\"])\n", "api = HfApi()\n", "\n", "def hf_upload(file):\n", " info = api.upload_file(\n", " path_or_fileobj=file,\n", " path_in_repo=file,\n", " repo_id=\"boettiger-lab/ca-30x30\",\n", " repo_type=\"dataset\",\n", " )\n", " \n", "hf_upload(\"ca2024-30m.parquet\")" ] }, { "cell_type": "code", "execution_count": null, "id": "2df80e1d-6b94-4884-b9f5-d9c23d3ea028", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [], "source": [ "import subprocess\n", "import os\n", "\n", "def generate_pmtiles(input_file, output_file, max_zoom=12):\n", " # Ensure Tippecanoe is installed\n", " if subprocess.call([\"which\", \"tippecanoe\"], stdout=subprocess.DEVNULL) != 0:\n", " raise RuntimeError(\"Tippecanoe is not installed or not in PATH\")\n", "\n", " # Construct the Tippecanoe command\n", " command = [\n", " \"tippecanoe\",\n", " \"-o\", output_file,\n", " \"-z\", str(max_zoom),\n", " \"--drop-densest-as-needed\",\n", " \"--extend-zooms-if-still-dropping\",\n", " \"--force\",\n", " input_file\n", " ]\n", "\n", " # Run Tippecanoe\n", " try:\n", " subprocess.run(command, check=True)\n", " print(f\"Successfully generated PMTiles file: {output_file}\")\n", " except subprocess.CalledProcessError as e:\n", " print(f\"Error running Tippecanoe: {e}\")\n", "\n", "generate_pmtiles(\"ca2024-30m.geojson\", \"ca2024-30m-tippe.pmtiles\")\n", "hf_upload(\"ca2024-30m-tippe.pmtiles\")" ] } ], "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": "3.11.10" } }, "nbformat": 4, "nbformat_minor": 5 }