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The Challenge
Healthcare access is not evenly distributed
In urban regions, geographic barriers and population density create coverage gaps where residents live outside acceptable travel times to emergency care. Traditional facility planning often relies on intuition or outdated census data.
This project demonstrates a data-driven approach: using isochrone analysis to visualize travel-time polygons, identify underserved populations, and optimize placement of new facilities for maximum impact.
Technical Architecture
End-to-end geospatial stack
Layer 1
Data Sources
OpenStreetMap
Healthcare facility locations
WorldPop
Population density grids
OSRM
Road network routing
Layer 2
Processing
PostGIS
Spatial database and analysis
Python
ETL pipelines and isochrone generation
pgRouting
Network analysis extensions
Layer 3
Serving
GeoServer
OGC-compliant WMS/WFS
SLD Styling
Cartographic presentation
REST API
Configuration automation
Layer 4
Visualization
MapLibre GL
WebGL map rendering
Next.js
React SSR framework
Framer Motion
Animation choreography
Implementation Process
From raw data to interactive insight
1
Data Acquisition
Day 1- —Extract healthcare facilities from OSM via Overpass API
- —Download population rasters from WorldPop
- —Establish PostGIS schema with spatial indexes
2
Isochrone Generation
Day 2- —Configure OSRM routing service
- —Generate 5/15/30-minute drive-time polygons
- —Compute population coverage per isochrone
3
Gap Analysis
Day 3- —Identify underserved areas via spatial difference
- —Calculate severity scores (population x distance)
- —Rank candidate locations for new facilities
4
Visualization
Day 4-5- —Publish layers to GeoServer with SLD styling
- —Build interactive React components with D3.js
- —Implement cinematic camera transitions
Projected Outcomes
Quantified impact
73%
Gap Reduction
Projected improvement with optimal placement
30K+
New Coverage
Additional residents within 15-min access
6 min
Time Saved
Average response time reduction
$2.4M
Est. Savings
Annual emergency transport cost reduction
Technology Stack
Built with production-grade tools
PostGISGeoServerMapLibre GLNext.js 14TypeScriptD3.jsFramer MotionTailwind CSSPythonOSRMDockerProxmox VE
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This case study demonstrates geospatial analysis capabilities. See more examples of data visualization and infrastructure projects.