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Woodfine Projects

The buildings-and-places record for Woodfine Capital Projects Inc.: six development classes, the design system behind them, and the site-selection method built on established retail anchors. Articles span regional markets across North America and Europe, the planned development program, and the maps and data behind the analysis.

Trade area data sources — population and spend

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df767922 · Woodfine Capital Projects Inc. ·

fix(gis): correct population-source attribution from WorldPop to Kontur Population, the actual live pipeline source

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@@ -13,7 +13,7 @@ bcsc_class: current-fact
language_protocol: PROSE-TOPIC
last_edited: 2026-09-04
editor: pointsav-engineering
short_description: "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."
short_description: "Population estimates from Kontur Population and annual per-capita spend proxies from national household surveys underpin the trade area statistics for each co-location cluster."
paired_with: gis/trade-area-data-sources.es.md
cites:
  - osm-odbl
@@ -23,19 +23,19 @@ Population estimates and retail spend estimates are the two input layers that dr

## Population Data

Population estimates are sourced from the **WorldPop 2026 100-metre population grid** (worldpop.org). WorldPop produces modelled population estimates derived from census microdata, satellite imagery, and dasymetric redistribution. The 100 m resolution places population at the sub-block level, enabling precise trade area delineation.
Population estimates are sourced from **Kontur Population**, an H3-native population dataset delivered as per-country files at H3 resolution-8 — a finer grid than the resolution-7 hexagons the platform aggregates catchments to. Unlike a raster-based product, Kontur's population values are already bound to hexagon geometry at ingestion, so no raster-to-hexagon reprojection step is required.

### Processing pipeline

1. **Spatial filter:** Only grid cells within 150 km of at least one co-location cluster centroid are retained, reducing data volume by approximately 80% while preserving all cells relevant to catchment computation.
1. **Per-country ingestion:** Each country's resolution-8 population file is read directly; only cells with a positive population value are retained.

2. **H3 aggregation:** Retained cells are assigned to their containing H3 resolution-7 hexagon and population values are summed. H3 resolution-7 cells have an average area of 5.16 km².
2. **H3 rollup:** Each resolution-8 cell is resolved to its resolution-7 parent hexagon, and population values are summed across all resolution-8 children sharing a parent. H3 resolution-7 cells have an average area of 5.16 km².

3. **Output:** Population is aggregated to one record per H3 cell, giving each cell's coordinates, population, and country.
3. **Output:** Population is aggregated to one record per resolution-7 cell, giving each cell's coordinates, summed population, and the set of countries contributing to it.

### Countries covered

United States, Canada, Mexico, Great Britain, Germany, France, Netherlands, Austria, Portugal, Greece, Denmark, Iceland, and Poland — 13 countries as of the current pipeline version. This is the set with published per-capita spend multipliers. It is a subset of the platform's broader co-location footprint, which spans 24 countries as of the most recent full processing run (2026-08-06). See [[co-location-intelligence-overview]] for full country coverage.
United States, Canada, Mexico, Spain, France, Germany, Great Britain, Italy, Netherlands, Austria, Poland, Greece, and Portugal — 13 countries as of the current pipeline version. This is the set with published per-capita spend multipliers. It is a subset of the platform's broader co-location footprint, which spans 24 countries as of the most recent full processing run (2026-08-06). See [[co-location-intelligence-overview]] for full country coverage.

## Spend Data

@@ -82,11 +82,13 @@ The retail anchor and secondary operator locations that form co-location cluster
## References

- [Trade area](https://en.wikipedia.org/wiki/Trade_area) — Wikipedia, accessed 2026-06-14
- [WorldPop Global High Resolution Population Denominators Project](https://www.worldpop.org/) — WorldPop, University of Southampton, accessed 2026-06-14
- [Kontur Population Dataset](https://data.humdata.org/dataset/kontur-population-dataset) — Kontur, accessed 2026-09-07
- [H3: Uber's Hexagonal Hierarchical Spatial Index](https://h3geo.org/) — H3 Geo, accessed 2026-06-14

*Wikipedia content reproduced under [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/).*

*Kontur Population data licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).*

*OpenStreetMap data © OpenStreetMap contributors, licensed under ODbL.*

## See also
Important Information

Important Information

Securities offering. Woodfine Capital Projects Inc. ("Woodfine") sponsors real-property direct-hold solutions. Interests in those solutions are offered only to investors who qualify under an applicable prospectus exemption — including the accredited-investor exemption under National Instrument 45-106 — Prospectus Exemptions, and equivalent exemptions in other applicable jurisdictions. Content on this wiki is provided for general informational purposes only and does not constitute an offer to sell, or a solicitation of an offer to buy, any security. Any offering is made exclusively by means of the applicable Private Placement Memorandum, which prospective investors should review, together with their own professional advisors, before investing.

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