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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.

Woodfine Capital Projects

Retail co-location intelligence — overview

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ba0d2580 · Woodfine Capital Projects Inc. ·

docs(projects): fix second fabricated tier scheme -- remove 5-star '12-rank matrix' and Named-Anchor Model language from co-location-ranking-system, co-location-intelligence-overview, and co-location-methodology (9 files); real V3 tier system (Regional/District/Local/Fringe) is the only vocabulary now in use

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@@ -14,7 +14,7 @@ bcsc_class: current-fact
language_protocol: PROSE-TOPIC
last_edited: 2026-08-25
editor: pointsav-engineering
short_description: "Systematic geographic analysis identifying and ranking retail sites where large-format categories converge within defined catchment radii."
short_description: "Systematic geographic analysis identifying and classifying retail sites where large-format categories converge within defined catchment radii."
paired_with: site-selection/co-location-intelligence-overview.es.md
cites:
  - overture-maps-cdla-2-0
@@ -23,7 +23,7 @@ cites:
  - osc-sn-51-721
---

MCorp's co-location intelligence platform ranks 2,738 commercial nodes across 8 retail markets by anchor convergence — the independent co-location of hypermarkets, warehouse clubs, and home improvement superstores at the same trade area. Each node is validated not by analyst forecasts, but by the independent capital commitments of the retailers who located there. Convergence is measured per the [[co-location-methodology|co-location methodology]] and scored by the [[co-location-ranking-system|deterministic ranking system]]; the population and spend inputs are documented in [[trade-area-data-sources|trade-area data sources]] and the geographic policy in the [[about-regional-markets-system|regional market matrix]].
MCorp's co-location intelligence platform classifies commercial nodes across 8 retail markets by anchor convergence — the independent co-location of hypermarkets, warehouse clubs, and home improvement superstores at the same trade area. Each node is validated not by analyst forecasts, but by the independent capital commitments of the retailers who located there. Convergence is measured per the [[co-location-methodology|co-location methodology]] and classified by the [[co-location-ranking-system|deterministic ranking system]]; the population and spend inputs are documented in [[trade-area-data-sources|trade-area data sources]] and the geographic policy in the [[about-regional-markets-system|regional market matrix]].

The platform is operated at [gis.woodfinegroup.com](https://gis.woodfinegroup.com).

@@ -31,7 +31,7 @@ The platform is operated at [gis.woodfinegroup.com](https://gis.woodfinegroup.co

Large-format retailers do not locate arbitrarily. Supercenter operators, warehouse clubs, and home improvement superstores each independently apply capital-intensive site selection criteria — traffic counts, household income density, road-network accessibility, and competitive positioning. When two or three such operators converge on the same node within a given corridor, that convergence signals a validated commercial location: one where multiple independent parties have independently committed capital to serve the same trade area. The qualifying [[co-location-anchors|anchor]] adjacency requirement is binary, not a matter of degree.

The co-location intelligence system identifies and ranks those nodes using a deterministic named-anchor combination matrix. The output is a ranked index of sites, expressed as five quality tiers, which can be filtered by region, country, and secondary radius.
The co-location intelligence system identifies and classifies those nodes using a deterministic predicate-gate model. The output is a tiered index of sites — Regional, District, Local, Fringe — which can be filtered by region, country, and secondary radius.

## Geographic coverage and scale

@@ -57,33 +57,25 @@ not resolved.**
The platform integrates three primary data sources to ensure high-fidelity spatial analysis:

1.  **Service-business (Retail Operators):** Sourced from OpenStreetMap contributors, filtered by canonical brand Wikidata identifiers to ensure consistent brand-family matching across borders. As of 2 May 2026, the dataset contains 31,219+ individual retail locations across 60+ chains.
2.  **Service-places (Civic Infrastructure):** Hospital and medical center records sourced from the Overture Maps Foundation Places dataset (2026-04-15 release). This tertiary layer provides the "stabilizing" demographic context required for high-tier ranking.
2.  **Service-places (Civic Infrastructure):** Hospital and medical center records sourced from the Overture Maps Foundation Places dataset (2026-04-15 release). This tertiary layer provides the civic context required for the Regional and District tier gates.
3.  **Service-transport (Logistics Support):** Aviation facility records from Overture Maps Foundation, retained for future tertiary scoring dimensions.

*Material assumptions for current dataset counts include the continued availability of OpenStreetMap and Overture Maps Foundation data under their respective licenses (ODbL and CDLA Permissive 2.0). [osm-odbl] [overture-maps-cdla-2-0]*

## Site index and quality tiers
## Site index and tier classification

The current dataset identifies **2,738 ranked co-location sites** globally: 2,488 in North America and 250 in Europe, both covered by the [[co-location-tier-system|co-location tier system]]. Sites are ranked using a deterministic matrix that evaluates the proximity and category of secondary anchors relative to a primary hypermarket anchor.
Every scored node is classified into one of four tiers — **Regional**, **District**, **Local**, **Fringe** — covered by the [[co-location-tier-system|co-location tier system]]. A cluster earns its tier by clearing predicate gates on anchor composition, national catchment rank, civic infrastructure, and spatial non-overlap, described in full in the [[catchment-ranking-methodology-v3|V3 catchment ranking methodology]].

| Tier | Description | NA count | EU count |
|------|-------------|----------|----------|
| ★★★★★ | Full co-location | 102 | 0 |
| ★★★★ | Strong co-location | 259 | 9 |
| ★★★ | Partial co-location | 1,396 | 175 |
| ★★ | Limited co-location | 333 | 23 |
| ★ | Anchor only | 398 | 43 |

The current absence of Tier 5 sites in Europe reflects data coverage target milestones; the tertiary scoring dimension (healthcare and higher education) currently draws on Overture data that has established maturity in North American markets. Expansion of European tertiary data sources is an intended target for future platform iterations. [ni-51-102] [osc-sn-51-721]
Current site counts by tier and country are published live on the GIS platform rather than restated here; a wiki snapshot goes stale between data-refresh cycles, while the platform updates on every processing run.

## Interactive surface

The Geographic Information System (GIS) platform renders the ranked site index as an interactive map at [gis.woodfinegroup.com](https://gis.woodfinegroup.com). The interface supports real-time filtering by cluster grade and catchment radius (1 km, 2 km, or 3 km). 
The Geographic Information System (GIS) platform renders the tiered site index as an interactive map at [gis.woodfinegroup.com](https://gis.woodfinegroup.com). The interface supports real-time filtering by cluster tier and catchment radius (1 km, 2 km, or 3 km).

The platform is updated when new chain data is ingested or when the ranking matrix is recalibrated. All dataset counts and version identifiers are displayed in the platform header to ensure operational transparency.
The platform is updated when new chain data is ingested or when tier assignment is recalibrated. All dataset counts and version identifiers are displayed in the platform header to ensure operational transparency.

## Provenance
- **Verification:** Site counts and country coverage verified against the GIS platform configuration as of 2 May 2026.
- **Verification:** Country coverage verified against the GIS platform configuration as of 2 May 2026.
- **Forward-looking disclosure:** European tertiary data expansion targets are intended outcomes, labeled per [ni-51-102].

## 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.

Scope. This wiki describes Woodfine's research methodology, geographic data platform, and related activities at a high level and is qualified in its entirety by the applicable Private Placement Memorandum and the governing documents of the relevant issuer.

Risk. Investment in real-property direct-hold solutions involves significant risk, including possible loss of capital. Past performance is not indicative of future results. References to structural features such as advisory fees, transferability, and net asset value methodology describe the contractual terms of the direct-hold solutions and are not representations as to investment outcomes or returns.

Forward-looking statements. Statements that are not historical facts may constitute forward-looking information within the meaning of applicable Canadian securities laws. Such statements are subject to known and unknown risks, uncertainties and assumptions, and actual results may differ materially. Woodfine undertakes no obligation to update such statements except as required by law.

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