Data overview — location intelligence and GIS data layers
fix(privacy): sync pwoodfine fork with canonical — pulls in 2026-08-03 jmwoodfine@gmail.com redaction (NEXT.md item 20) + 60 other canonical commits since fork diverged
@@ -1,13 +1,13 @@ --- schema: foundry-doc-v1 title: "Data Overview — Location Intelligence and GIS Data Layers" title: "Data overview — location intelligence and GIS data layers" slug: gis-data-overview language: en category: gis type: concept content_type: topic status: active last_edited: 2026-06-20 last_edited: 2026-07-11 editor: pointsav-engineering short_description: "An orientation to the platform's data layers: location intelligence clusters, co-location tiers, and the GIS tile pipeline." cites: [] @@ -20,6 +20,16 @@ The PointSav platform produces and serves geospatial data in two primary forms: The cluster dataset groups commercial points of interest into three-tier co-location nodes — T1 (anchor), T2 (developed), T3 (emerging) — using a two-pass DBSCAN algorithm. Three archetypes describe distinct commercial patterns: PRO (professional retail co-location), VWH (vertical warehouse / urban industrial), and PKS (parking structures / transit-adjacent commercial). **Correction (2026-08-02, verified against canonical `origin/main`):** the real tier taxonomy (`app-orchestration-gis/SCORING-METHODOLOGY.md`, V3) is **four** tiers — T1 Regional, T2 District, T3 Local, T4 Fringe — not the three shown here, and this also contradicts this article's own sibling, [[nordic-uk-coverage]], which correctly uses the Regional/District/Local naming. Separately, VWH is documented in code (`test-cluster-archetypes.py`) as the "Urban Fringe" archetype (urban logistics/light-manufacturing with no hypermarket anchor) — "vertical warehouse" doesn't appear anywhere in source; PKS is confirmed accurate. **Flagged, not resolved.** See [[location-intelligence-archetypes|Location Intelligence Co-location Archetypes]] for a full introduction. ## GIS tile pipeline