app-orchestration-gis is the stateless spatial analytics engine of the PointSav GIS platform. It performs linear-geometry calculations and coordinate mapping to produce the Woodfine co-location rankings and the interactive map surface at gis.woodfinegroup.com.

Scoring Algorithm

The engine implements a linear geometric decay model using the Haversine formula. For every Alpha Anchor in the cleansed data layers, it calculates two proximity scores:

• Secondary proximity (3.0 km radius): score = max(0, 100 × (3.0 − distance_km) / 3.0)
• Tertiary proximity (5.0 km radius): score = max(0, 100 × (5.0 − distance_km) / 5.0)

The two scores combine to produce a continuous co-location score ranging from 0 to 400. Higher scores reflect greater convergence of capital-intensive operators within the defined catchment radii.

Tile Generation

The engine compiles scored output into vector tile assets for delivery to the interactive map:

• 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

Stateless Architecture

The application holds no canonical data. It operates as a pure function: cleansed cluster files enter, ranked geo-tiles exit. If the application instance is lost, the entire analytics environment can be re-provisioned by pointing a fresh instance at the immutable data layer — no state migration required.

See Also

• pointsav-gis-engine
• service-business-clustering
• service-places-filtering

Provenance

• Source: app-orchestration-gis service documentation (project-gis cluster)
• Refinement: 2026-05-06 by project-editorial Task
• Verification: Scoring algorithm, tile format, and stateless design confirmed against build configuration.
• BCSC Posture: Current-fact description of operational service.