Data Overview — Location Intelligence and GIS Data Layers
Phase C C2: projects flat-root migration — 47 articles into building-design(23)/site-selection(15)/gis(7)/urban(2); redirects.yaml +47 entries; corpus-wide wikilink fixes (791 replacements, 135 files); fixed stray \x01 control-char corruption in 7 ES files from the wikilink-fix pass
@@ -0,0 +1,35 @@ --- schema: foundry-doc-v1 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 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: [] paired_with: gis/gis-data-overview.es.md --- The PointSav platform produces and serves geospatial data in two primary forms: a location intelligence cluster dataset covering commercial co-location patterns across multiple countries, and a point-of-interest taxonomy that underlies the cluster algorithm. This article orients readers to those layers and links to the substantive methodology and archetype articles. ## Location intelligence clusters 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). See [[location-intelligence-archetypes|Location Intelligence Co-location Archetypes]] for a full introduction. ## GIS tile pipeline Cluster data is compiled into PMTiles and served at `gis.woodfinegroup.com`. The pipeline runs nightly, producing updated archetype GeoJSON files and spatial tile layers. See the Developer Guide Catalog for the nightly rebuild and AEC hazard pipeline guides. ## Methodology articles - O-D Catchment Methodology — crow-flies origin-destination model and catchment ring rationale - Catchment Ranking Methodology — combined primary and secondary rank dimensions - [[co-location-tier-nomenclature|Co-location Tier Nomenclature]] — T1/T2/T3 vocabulary *This article is a stub. Full content is planned for a future session.*