Maps and Data
docs(projects): rewrite all 11 category Index Topics as thematic Index Topics — fix stale industry/ post-retraction, build out thin hub pages, add index_group frontmatter wiki-wide
@@ -7,25 +7,55 @@ type: topic content_type: topic quality: complete short_description: "The maps and data behind the analysis: where the spatial data comes from, what it covers, and the methods used to screen markets and evaluate sites." index_type: thematic index_scope: gis status: active bcsc_class: current-fact language_protocol: PROSE-TOPIC last_edited: 2026-07-04 last_edited: 2026-08-24 editor: pointsav-engineering paired_with: _index.es.md --- Maps and Data covers the spatial data behind the analysis: where it comes from, what it covers, and the methods used to screen markets and evaluate sites. [[gis-data-overview|Data Overview]] is the entry point — an orientation to the location intelligence clusters, co-location tiers, and the tile pipeline that turns raw spatial data into a scored map. [[poi-data-schema|POI Data Schema]] and [[regional-name-resolution-architecture|Regional Name Resolution]] cover how individual points of interest and cluster labels are built from OpenStreetMap and Overture Maps Foundation sources, and [[trade-area-data-sources|Trade Area Data Sources]] and [[spend-population-provenance|Spend and Population Provenance]] document where the population and spend estimates behind every trade area figure originate. Coverage-expansion articles — [[nordic-uk-coverage|Nordic and UK coverage]] and [[uk-eu-food-retail-coverage|UK/EU food-retail coverage]] — record when and how new countries and chain categories entered the dataset. Maps and Data covers the spatial data behind the analysis: where it comes from, what it covers, and the methods used to screen markets and evaluate sites. <!-- START-HERE-HIGHLIGHT: engine reads this block to render the single "start here" card (reuses the existing cluster-card--start-here component). Do not add more than one. --> **Start here:** [[gis-data-overview|Data Overview]] <!-- END-START-HERE-HIGHLIGHT --> ## Data Overview and Sources [[gis-data-overview|Data Overview]] is the entry point — an orientation to the location intelligence clusters, co-location tiers, and the tile pipeline that turns raw spatial data into a scored map. [[poi-data-schema|POI Data Schema]] and [[regional-name-resolution-architecture|Regional Name Resolution]] cover how individual points of interest and cluster labels are built from OpenStreetMap and Overture Maps Foundation sources. [[trade-area-data-sources|Trade Area Data Sources]] and [[spend-population-provenance|Spend and Population Provenance]] document where the population and spend estimates behind every trade area figure originate. <!-- AUTO-GENERATED MEMBERSHIP: DO NOT EDIT BELOW — regenerate from index_group: data-overview-and-sources --> - [[gis-data-overview]] — An orientation to the platform's data layers: location intelligence clusters, co-location tiers, and the GIS tile pipeline. - [[poi-data-schema]] — The POI data schema defines record structures for location data ingested from OpenStreetMap and Overture Maps Foundation, normalized into a unified JSONL format before cluster analysis. Wikidata QIDs serve as the primary chain identifier, and parent-child sub-location models handle co-branded ancillary services. - [[regional-name-resolution-architecture]] — Each co-location cluster is labelled with a human-readable regional name — a North American Metropolitan Area, a European NUTS-3 region, a Mexican municipio, a Canadian Census Subdivision. That name is the output of a layered offline reverse-geocoding pipeline that draws from a stack of open boundary datasets without requiring external API calls. - [[trade-area-data-sources]] — Population estimates from WorldPop 2026 and annual per-capita spend proxies from national household surveys underpin the trade area statistics for each co-location cluster. - [[spend-population-provenance]] — Provenance chain behind catchment population and spend estimates — WorldPop rasters, H3 aggregation, and per-capita multipliers, with their stated weaknesses. <!-- END AUTO-GENERATED --> ## Coverage Expansion [[nordic-uk-coverage|Nordic and UK Coverage]] and [[uk-eu-food-retail-coverage|UK/EU Food-Retail Coverage]] record when and how new countries and chain categories entered the dataset. <!-- AUTO-GENERATED MEMBERSHIP: DO NOT EDIT BELOW — regenerate from index_group: coverage-expansion --> - [[nordic-uk-coverage]] — How Norway, Sweden, and the United Kingdom entered the co-location intelligence dataset through three Alpha-tier chain promotions in May 2026. - [[uk-eu-food-retail-coverage]] — The co-location index distinguishes between chains that participate in cluster scoring — anchors, hardware, warehouse — and chains that appear on the map as supporting context without affecting cluster grades. The Food family is the latter. This article documents United Kingdom and European Union food-retail coverage as of the May 2026 expansion. <!-- END AUTO-GENERATED --> ## Site and Transaction Integration [[site-ledger-integration|Site Ledger Integration]] binds each physical construction site to an isolated digital archive container, maintaining immutable audit records from groundbreak through commissioning. [[transaction-summary-report-protocol|The Transaction Summary Report Protocol]] advances shortlisted Development Site candidates from geographic scoring to Independent Director review. <!-- AUTO-GENERATED MEMBERSHIP: DO NOT EDIT BELOW — regenerate from index_group: site-and-transaction-integration --> - [[site-ledger-integration]] — Operational link binding each physical construction site to an isolated digital archive container, maintaining immutable audit records from groundbreak through commissioning. - [[transaction-summary-report-protocol]] — Site-approval protocol advancing shortlisted Development Site candidates from geographic scoring to Independent Director review via the Transaction Summary Report. <!-- END AUTO-GENERATED --> ## See also - [[site-selection-index|How We Choose Sites]] - [[markets|The Markets]]