Co-location cluster formation
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
@@ -12,12 +12,12 @@ audience: customer-woodfine bcsc_class: current-fact language_protocol: PROSE-TOPIC short_description: "The pipeline step that converts each qualifying anchor store into a candidate co-location cluster; overlapping candidates from a single trade area are resolved by deduplication before ranking inputs are aggregated." last_edited: 2026-07-11 last_edited: 2026-09-04 editor: pointsav-engineering paired_with: site-selection/co-location-cluster-formation.es.md --- Cluster formation is the step in the [[co-location-methodology|co-location index]] pipeline that turns qualifying anchor stores into candidate clusters. Every qualifying [[co-location-anchors|anchor]] store — each hypermarket, home-improvement superstore, and warehouse club that has independently committed capital within 1.0 to 3.0 km of the others — generates one candidate cluster centred on that store's coordinates. Cluster formation is the step in the [[co-location-methodology|co-location index]] pipeline that turns qualifying anchor stores into candidate clusters. Every qualifying [[co-location-anchors|anchor]] store — each hypermarket, home-improvement superstore, and warehouse club that has independently committed capital within a defined adjacency radius of the others — generates one candidate cluster centred on that store's coordinates. The adjacency radius is a platform-level parameter expressed as a bounded distance range, not a per-site analyst judgement; that is what makes the step deterministic and repeatable between processing runs. Because each anchor produces its own candidate, a single commercial zone with several adjacent anchors yields several overlapping clusters that describe the same trade area. Those overlaps are resolved downstream by the [[cluster-deduplication-threshold|deduplication]] step before trade-area inputs are aggregated for the [[co-location-ranking-system|ranking system]].