GIS orchestration application
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enrich wikilinks: documentation applications body (EN+ES) batch 2
@@ -18,7 +18,7 @@ cites: - maplibre-gl-js --- `app-orchestration-gis` is the stateless spatial analytics engine that performs linear-geometry calculations and coordinate mapping to produce the Woodfine co-location rankings and the interactive map at [gis.woodfinegroup.com](https://gis.woodfinegroup.com). The application holds no canonical data — it operates as a pure function from cleansed cluster files to ranked geo-tiles, so a lost instance can be re-provisioned by pointing a fresh process at the immutable data layer with no state migration. `app-orchestration-gis` is the stateless spatial analytics engine that performs linear-geometry calculations and coordinate mapping to produce the Woodfine co-location rankings and the interactive map at [gis.woodfinegroup.com](https://gis.woodfinegroup.com). The application holds no canonical data — it operates as a pure function from cleansed cluster files to ranked geo-tiles, so a lost instance can be re-provisioned by pointing a fresh process at the immutable [[totebox-archive|Totebox data layer]] with no state migration. It runs on [[os-orchestration|`os-orchestration`]] and composes with [[service-business-clustering]] and [[service-places-filtering]] to produce its input datasets. ## Scoring Algorithm @@ -35,7 +35,7 @@ The engine compiles scored output into vector tile assets for delivery to the in - **Vector tiles:** PMTiles format for client-side rendering without a dedicated tile server [pmtiles-spec] - **Rendering:** MapLibre GL JS processes the tiles client-side at high performance [maplibre-gl-js] - **Visual tiers:** Spatial convergence across anchor categories (primary, hardware, warehouse, civic) maps to a four-tier visual classification on the map surface - **Visual tiers:** Spatial convergence across anchor categories (primary, hardware, warehouse, civic) maps to a four-tier visual classification on the map surface, expressed through the [[co-location-methodology|co-location scoring methodology]] ## Stateless Architecture @@ -43,6 +43,8 @@ The application holds no canonical data. It operates as a pure function: cleanse ## See also - [[pointsav-gis-engine]] - [[service-business-clustering]] - [[service-places-filtering]] - [[pointsav-gis-engine]] — the rendering layer that serves tiles produced by this engine - [[service-business-clustering]] — the clustering service that groups POI data into co-location clusters - [[service-places-filtering]] — the places filtering service that prepares cleansed input data - [[co-location-methodology]] — the scoring and ranking methodology implemented by the engine - [[location-intelligence-platform]] — the platform article covering the full GIS deployment