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PointSav Documentation

The engineering library for the PointSav platform — operating systems and services for regulated businesses that own their data, their AI, and their record-keeping outright. Where the monorepo holds the code, this wiki holds the reasoning: architecture, services, security, and the governance commitments that bind future development.

PointSav Digital Systems

Places filtering

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89c36c1a · PointSav Digital Systems ·

Track-B documentation wave: services category — mandatory Test-1 self-contradiction fix (service-fs-data-lake), Test-3 split, structural + mechanical frontmatter fixes across 17 articles

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@@ -12,10 +12,14 @@ audience: public
short_description: "A filtering step that keeps only regional-grade institutions from raw civic data, so GIS tier rankings reflect institutional concentration rather than every clinic and community facility."
bcsc_class: public-disclosure-safe
language_protocol: PROSE-TOPIC
last_edited: 2026-08-22
last_edited: 2026-09-05
editor: pointsav-engineering
paired_with: service-places-filtering.es.md
cites: []
references:
  - id: 1
    text: "Point of interest. Wikipedia, accessed 2026-06-14."
    url: "https://en.wikipedia.org/wiki/Point_of_interest"
---

[[retail-co-location-tier-methodology|GIS tier rankings]] depend on knowing where regional
@@ -24,7 +28,7 @@ places-filtering step keeps only civic and institutional facilities that meet a 
scale — hospitals, universities, and validated major transport hubs above fixed size
thresholds — and consolidates multi-point campus records into a single regional anchor.
Local-service density is removed at this stage, so downstream rankings reflect institutional
concentration rather than raw facility count.
concentration rather than raw facility count.[^1]

## What the filter keeps

@@ -58,7 +62,3 @@ campuses to a single anchor) is the stable, public-facing part of the design.
- [[service-business-clustering]] — the retail clustering step that runs alongside it
- [[service-fs-data-lake]] — the raw civic and retail data this step consumes
- [[retail-co-location-tier-methodology]] — the tier methodology the filtered data feeds

## References

- [Point of interest](https://en.wikipedia.org/wiki/Point_of_interest) — Wikipedia, accessed 2026-06-14
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