Retail co-location ranking system
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Track-B Phase B: site-selection redaction batch 2 — redact exact clustering/dedup/proximity thresholds and named production dataset counts (R1) from cluster-formation, cluster-deduplication-threshold, co-location-intelligence-overview, asset-evaluation-protocol, co-location-investment-thesis, co-location-strategy, co-location-ranking-system; generalize to structural-fact level, no fabricated substitutes
@@ -11,9 +11,9 @@ status: active audience: customer-woodfine bcsc_class: current-fact language_protocol: PROSE-TOPIC last_edited: 2026-08-26 last_edited: 2026-09-04 editor: pointsav-engineering short_description: "The deterministic mechanics behind cluster ranking on the co-location platform — country-relative percentile axes, the overlap test between neighbouring clusters, and the tiebreak order applied within a tier." short_description: "The deterministic mechanics behind cluster ranking on the co-location platform — country-relative percentile ranking, the overlap test between neighbouring clusters, and the tiebreak order applied within a tier." paired_with: site-selection/co-location-ranking-system.es.md --- @@ -21,15 +21,15 @@ The Woodfine [[co-location-methodology|co-location methodology]] assigns each cl ## Country-relative ranking A cluster's tier depends on where it stands against every other cluster in its own country, not against a fixed global threshold. Each cluster is ranked against its national peers on eight measures: primary and secondary catchment population, and primary and secondary spend across grocery, hardware, and wholesale categories. Ranking within-country, rather than against one global bar, keeps a smaller market's structure intact: a nationally significant cluster in a small country is read against its own national field, not swamped by the sheer scale of a larger one. The percentile calculation itself is planned for publication at gis.woodfinegroup.com. A cluster's tier depends on where it stands against every other cluster in its own country, not against a fixed global threshold. Each cluster is ranked against its national peers on measures of catchment population and consumer spend. Ranking within-country, rather than against one global bar, keeps a smaller market's structure intact: a nationally significant cluster in a small country is read against its own national field, not swamped by the sheer scale of a larger one. The percentile axes and the calculation behind them are planned for publication at gis.woodfinegroup.com. Two demand zones feed the population and spend axes: a primary zone within 35 km of the cluster and a secondary zone between 35 km and 150 km, per the [[od-catchment-methodology|distance-band methodology]]. Spend estimates draw on national household-spending surveys applied to the same population grid. Catchment is measured across two distance bands — a primary zone within 35 km of the cluster and a secondary zone between 35 km and 150 km — per the [[od-catchment-methodology|distance-band methodology]]. Spend estimates draw on national household-spending surveys. These thresholds are intentionally coarse. The system is built to separate nationally significant clusters from local nodes, not to finely rank clusters against one another within a tier. ## The overlap test A cluster is only credited for its tier when it is not dominated by a stronger neighbour nearby. Overlap between neighbouring clusters is measured by a published geometric test over a fixed radius around each cluster: the closer two clusters sit, the higher the measured overlap, and clusters far enough apart are treated as spatially independent. A cluster that substantially overlaps a stronger cluster is held below the tier its composition and catchment would otherwise earn. Regional carries the strictest overlap limit of any tier, per the [[catchment-ranking-methodology-v3|gate definitions]]. The overlap measure and its radius are planned for publication at gis.woodfinegroup.com. A cluster is only credited for its tier when it is not dominated by a stronger neighbour nearby. Overlap between neighbouring clusters is measured by a geometric test over a fixed radius around each cluster: the closer two clusters sit, the higher the measured overlap, and clusters far enough apart are treated as spatially independent. A cluster that substantially overlaps a stronger cluster is held below the tier its composition and catchment would otherwise earn. Regional carries the strictest overlap limit of any tier, per the [[catchment-ranking-methodology-v3|gate definitions]]. The overlap measure and its radius are planned for publication at gis.woodfinegroup.com. ## Ordering within a tier @@ -48,7 +48,6 @@ Map and location data © [OpenStreetMap contributors](https://www.openstreetmap. ## References - [Big-box store](https://en.wikipedia.org/wiki/Big-box_store) — Wikipedia, accessed 2026-06-14 - [DBSCAN](https://en.wikipedia.org/wiki/DBSCAN) — Wikipedia, accessed 2026-06-14 ---