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PointSav Digital Systems

Places filtering service

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GIS tier rankings depend on knowing where regional institutions sit, not where every clinic and community college sits. **`service-places`** filters raw civic data to retain only regional-grade facilities — hospitals with at least 50 staffed beds, universities with at least 1,000 full-time-equivalent students, validated major regional transport hubs — and applies a 200 m spatial buffer to consolidate large institutional campuses into single regional anchors. Local-service density is filtered out at this stage; downstream rankings reflect institutional concentration rather than facility count.
[[co-location-methodology|GIS tier rankings]] depend on knowing where regional institutions sit, not where every clinic and community college sits. **`service-places`** filters raw civic data to retain only regional-grade facilities — hospitals with at least 50 staffed beds, universities with at least 1,000 full-time-equivalent students, validated major regional transport hubs — and applies a 200 m spatial buffer to consolidate large institutional campuses into single regional anchors. Local-service density is filtered out at this stage; downstream rankings reflect institutional concentration rather than facility count.

## Filtering Thresholds

The service applies attribute-weight filters to the raw civic data provided by `service-fs`:
The service applies attribute-weight filters to the raw civic data provided by [[service-fs-data-lake|`service-fs`]]:

- **Regional hospitals:** minimum capacity threshold (50+ staffed beds).
- **Regional universities:** minimum enrollment threshold (1,000+ full-time equivalent students).
@@ -32,10 +32,11 @@ Large institutional campuses frequently appear in raw open geospatial data as mu

## Data Output

The resulting `cleansed-places.jsonl` provides the regional anchor dataset that `app-orchestration-gis` uses when awarding final co-location tier rankings.
The resulting `cleansed-places.jsonl` provides the regional anchor dataset that [[app-orchestration-gis]] uses when awarding final [[co-location-methodology|co-location tier rankings]].

## See also

- [[service-fs-data-lake]]
- [[service-business-clustering]]
- [[app-orchestration-gis]]
- [[service-fs-data-lake]] — GIS data lake supplying the raw civic and retail data
- [[service-business-clustering]] — retail clustering service that consumes the filtered place data
- [[app-orchestration-gis]] — orchestration layer that assembles tier rankings from both services
- [[co-location-methodology]] — the ranking methodology driving tier assignments
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