deemanone/padelnomics
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

feat(data): Phase 2b complete — EU NUTS-2 spatial join + US state income

Browse Source 
- stg_regional_income: expanded NUTS-1+2 (LENGTH IN 3,4), nuts_code rename, nuts_level
- stg_nuts2_boundaries: new — ST_Read GISCO GeoJSON, bbox columns for spatial pre-filter
- stg_income_usa: new — Census ACS state-level income staging model
- dim_locations: spatial join replaces admin1_to_nuts1 VALUES CTE; us_income CTE with
  PPS normalisation (income/80610×30000); income cascade: NUTS-2→NUTS-1→US state→country
- init_landing_seeds: compress=False for ST_Read files; gisco GeoJSON + census income seeds
- CHANGELOG + PROJECT.md updated

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Deeman
2026-02-27 11:03:16 +01:00
parent 409dc4bfac
commit c3531bd75d
6 changed files with 228 additions and 42 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
PROJECT.md
View File

@@ -1,7 +1,7 @@
# Padelnomics — Project Tracker
> Move tasks across columns as you work. Add new tasks at the top of the relevant column.
> Last updated: 2026-02-27 (opportunity score data quality improvements).
> Last updated: 2026-02-27 (Phase 2b — EU NUTS-2 spatial join + US state income).
---
@@ -92,6 +92,8 @@
- [x] **Opportunity Score v2 — income ceiling fix** — PPS normalisation `/200.0` → `/35000.0`; economic power component now differentiates countries (DE 13.2, ES 10.7, SE 14.3 pts; was 20.0 everywhere)
- [x] **dim_cities population coverage 70.5% → 98.5%** — GeoNames spatial fallback CTE (ST_Distance_Sphere, 0.14° bbox) resolves localization mismatches (Wien→Vienna 1.69M, Milano→Milan 1.37M); population cascade: Eurostat > Census > ONS > GeoNames string > GeoNames spatial > 0
- [x] **overpass_tennis added to supervisor workflows** — monthly schedule in `workflows.toml`; was only in combined extractor
- [x] **Phase 2a — NUTS-1 regional income** — `eurostat.py` adds `nama_10r_2hhinc` dataset + URL filter params; `stg_regional_income.sql` new staging model (NUTS-1 codes, `EL→GR`/`UK→GB` normalisation); `dim_locations.sql` wires German Bundesland income via 16-row `admin1_to_nuts1` VALUES CTE; verified income spread Bayern > Hamburg > Berlin > Sachsen
- [x] **Phase 2b — EU NUTS-2 spatial join + US state income** — all EU-27+EFTA+UK locations auto-resolve to NUTS-2 via `ST_Contains` on GISCO boundary polygons; Germany now uses 38 Regierungsbezirke; US state income from Census ACS with PPS normalisation (`income / 80610 × 30000`); replaces brittle admin1 mapping CTE with zero-config spatial join; new files: `download_gisco_nuts.py`, `stg_nuts2_boundaries.sql`, `census_usa_income.py`, `stg_income_usa.sql`
### Data Pipeline (DaaS)
- [x] Overpass API extractor (OSM padel courts)