cobainnovations-LTD/nigeria-geospatial-analysis

# Nigeria Geospatial Analysis — COBA Innovations Open geospatial data analysis exploring Nigeria's development gaps — administrative granularity, settlement visibility, and healthcare access — built on GRID3 Nigeria and Malaria Atlas Project data. ## Published pieces - **Nigeria Has More Wards Than You Think** — administrative granularity across states - **Nigeria's Invisible Cities** — 90% of satellite-detected settlements have no official name (15 states) - **Nigeria's Hospital Access Gap** — primary care is close; hospital-level care is not *(Links to published articles — add once live)* ## Repo structure ``` scripts/ All analysis and visualization code (Python + R) outputs/ images/ Final PNG visualizations data/ Final state/ward-level summary CSVs rasters/ Small derived travel-time rasters docs/ Working drafts ``` ## Data sources (not included in this repo — download separately) Raw and intermediate geospatial files are excluded from version control (several exceed GitHub's file size limits, and all are re-downloadable from source). To reproduce this analysis, download the following into your working directory: | File | Source | Notes | |---|---|---| | `grid3_nga_wards_v1.geojson` | data.grid3.org — Operational Wards v1.0 | Full national coverage | | `grid3_nga_wards_v2.geojson` | GRID3 — Operational Wards v2.0 | 15-state coverage, newer/more detailed | | `grid3_nga_settlement_extents.gpkg` | GRID3 — Settlement Extents v4.0 | ~2.56M building blocks | | `grid3_nga_settlement_names.geojson` | GRID3 — Settlement Names | ~292K named points | | `grid3_nga_health_facilities.geojson` | GRID3 — Health Facilities Registry | 51,022 facilities | | `grid3_nga_population.tif` | GRID3 — Population raster | ~100m resolution | | `2020_motorized_friction_surface.geotiff` | Malaria Atlas Project — Motorized friction surface, 2020 | Global raster, clipped to Nigeria by `scripts/clip_friction_to_nigeria.py` | ## Setup Two environments are used: ```bash # …