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Release God's Eye View as open source
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#!/usr/bin/env node
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/**
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* Build src/data/local_data/neighborhoods/san-francisco.json from the official
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* public-domain DataSF "Analysis Neighborhoods" dataset.
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*
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* Source (map view): https://data.sfgov.org/Geographic-Locations-and-Boundaries/Analysis-Neighborhoods-Map/p5b7-5n3h
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* Underlying dataset: https://data.sfgov.org/d/j2bu-swwd (columns: the_geom, nhood)
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* Fetched from: https://data.sfgov.org/resource/j2bu-swwd.geojson?$limit=100
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* License: Open Data Commons Public Domain Dedication and License (PDDL 1.0)
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* (dataset metadata `licenseId: "PDDL"` at
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* https://data.sfgov.org/api/views/j2bu-swwd.json)
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*
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* Transform (deterministic):
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* 1. `properties.nhood` → `properties.name` (no renames — DataSF names kept verbatim).
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* 2. Douglas-Peucker simplification per ring, tolerance 2e-5° (~2 m) — shaves
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* hyper-detailed shoreline vertices without visibly moving boundaries.
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* 3. Coordinates rounded to 6 decimals (~0.1 m); consecutive duplicates dropped;
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* rings re-closed; rings that collapse below 4 points dropped.
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* 4. Single-part MultiPolygons collapsed to Polygon.
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* 5. Features sorted by name for a stable diff.
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*
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* Usage:
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* node scripts/build-sf-neighborhoods.mjs [raw.geojson]
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* With no argument it downloads the live dataset; with an argument it reads the
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* given raw GeoJSON file (the exact bytes retrieved on 2026-07-30 in our case).
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*/
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import fs from 'node:fs';
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import path from 'node:path';
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import { fileURLToPath } from 'node:url';
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const SOURCE_URL = 'https://data.sfgov.org/resource/j2bu-swwd.geojson?$limit=100';
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const OUT = path.join(path.dirname(fileURLToPath(import.meta.url)),
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'..', 'src', 'data', 'local_data', 'neighborhoods', 'san-francisco.json');
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const TOLERANCE = 2e-5; // degrees, ~2 m
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const DECIMALS = 6;
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/** Perpendicular distance from point p to segment a-b (in degrees, planar — fine at this scale). */
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function segDist(p, a, b) {
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let [x, y] = p; const [x1, y1] = a; const [x2, y2] = b;
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let dx = x2 - x1; let dy = y2 - y1;
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if (dx !== 0 || dy !== 0) {
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const t = ((x - x1) * dx + (y - y1) * dy) / (dx * dx + dy * dy);
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if (t > 1) { x -= x2; y -= y2; return Math.hypot(x, y); }
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if (t > 0) { x -= x1 + dx * t; y -= y1 + dy * t; return Math.hypot(x, y); }
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}
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return Math.hypot(x - x1, y - y1);
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}
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/** Iterative Douglas-Peucker on an open point list. */
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function douglasPeucker(points, tolerance) {
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if (points.length <= 2) return points.slice();
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const keep = new Uint8Array(points.length);
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keep[0] = keep[points.length - 1] = 1;
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const stack = [[0, points.length - 1]];
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while (stack.length) {
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const [first, last] = stack.pop();
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let maxDist = 0; let index = -1;
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for (let i = first + 1; i < last; i++) {
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const d = segDist(points[i], points[first], points[last]);
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if (d > maxDist) { maxDist = d; index = i; }
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}
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if (maxDist > tolerance && index !== -1) {
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keep[index] = 1;
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stack.push([first, index], [index, last]);
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}
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}
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return points.filter((_, i) => keep[i]);
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}
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const round = (v) => Number(v.toFixed(DECIMALS));
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/** Simplify + round one ring; returns null if it degenerates. */
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function processRing(ring) {
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// GeoJSON rings are closed (first == last); simplify the open part.
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const open = ring.length > 1
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&& ring[0][0] === ring[ring.length - 1][0] && ring[0][1] === ring[ring.length - 1][1]
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? ring.slice(0, -1) : ring.slice();
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const simplified = douglasPeucker(open, TOLERANCE).map(([lon, lat]) => [round(lon), round(lat)]);
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const out = [];
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for (const pt of simplified) {
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const prev = out[out.length - 1];
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if (prev && prev[0] === pt[0] && prev[1] === pt[1]) continue;
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out.push(pt);
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}
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if (out.length < 3) return null;
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out.push([out[0][0], out[0][1]]); // re-close
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return out;
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}
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async function main() {
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let rawText;
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if (process.argv[2]) {
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rawText = fs.readFileSync(process.argv[2], 'utf8');
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console.log(`read ${process.argv[2]}`);
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} else {
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console.log(`fetching ${SOURCE_URL}`);
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const res = await fetch(SOURCE_URL);
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if (!res.ok) throw new Error(`HTTP ${res.status} from DataSF`);
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rawText = await res.text();
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}
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const raw = JSON.parse(rawText);
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if (raw.type !== 'FeatureCollection' || !Array.isArray(raw.features)) {
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throw new Error('unexpected payload: not a FeatureCollection');
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}
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let inVerts = 0; let outVerts = 0;
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const features = [];
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for (const f of raw.features) {
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const name = f.properties && f.properties.nhood;
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if (!name || !f.geometry) throw new Error(`feature missing nhood/geometry: ${JSON.stringify(f.properties)}`);
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const polysIn = f.geometry.type === 'MultiPolygon' ? f.geometry.coordinates
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: f.geometry.type === 'Polygon' ? [f.geometry.coordinates]
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: null;
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if (!polysIn) throw new Error(`unexpected geometry type ${f.geometry.type} for ${name}`);
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const polys = [];
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for (const poly of polysIn) {
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const rings = [];
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for (const ring of poly) {
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inVerts += ring.length;
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const r = processRing(ring);
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if (r) { rings.push(r); outVerts += r.length; }
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}
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if (rings.length && poly[0] && rings[0]) polys.push(rings);
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}
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if (!polys.length) throw new Error(`geometry collapsed for ${name}`);
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const geometry = polys.length === 1
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? { type: 'Polygon', coordinates: polys[0] }
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: { type: 'MultiPolygon', coordinates: polys };
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features.push({ type: 'Feature', properties: { name }, geometry });
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}
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features.sort((a, b) => a.properties.name.localeCompare(b.properties.name));
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const out = {
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type: 'FeatureCollection',
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city: 'San Francisco',
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source: 'DataSF "Analysis Neighborhoods" (dataset j2bu-swwd, map view p5b7-5n3h) — PDDL 1.0 (public domain); see SOURCE.md',
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features,
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};
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fs.writeFileSync(OUT, `${JSON.stringify(out)}\n`);
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const kb = (fs.statSync(OUT).size / 1024).toFixed(0);
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console.log(`wrote ${OUT}: ${features.length} features, ${inVerts} → ${outVerts} vertices, ${kb} KB`);
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}
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main().catch((err) => { console.error(err); process.exit(1); });
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