This is a 2D EMS response time visualization map for Austin, Texas.
index.html- Main HTML file with Leaflet mapassets/css/- CSS styling filesstyle.css- Base stylesemsMap.css- EMS map specific styles
assets/js/- JavaScript filesemsMap2d.js- Main map logic and EMS data loading
assets/images/- Image assetsems_icon.png- Icon for the map
respones_time_BG.geojson- EMS response time data (block group level)run_server.sh- Script to start local server
Important: You must run a local HTTP server to view this website due to CORS restrictions.
./run_server.shpython3 -m http.server 8000npx http-server -p 8000Then open your browser and navigate to:
http://localhost:8000
The map visualizes EMS response time data from the EMS_Project research:
- Response times aggregated to block group level
- Demographic variables (income, poverty, unemployment, race)
- Infrastructure variables (road density, structure age, EMS distance)
- Traffic event variables (crash patterns, time distributions)
- Environmental variables (weather, seasonality)
- Interactive choropleth map showing response time by block group
- Color-coded legend (blue = fast, red = slow)
- Detailed popup information including:
- Block group identifier
- Average response time in seconds and minutes
- Demographic information (income, population, poverty rate)
- Hover effects for better interactivity
- Leaflet - for 2D mapping
- jQuery - for modal functionality
- Bootstrap - for UI components
This visualization is part of a research project analyzing EMS response times in Travis County, Texas. The research uses:
- Geographically Weighted Regression (GWR)
- Random Forest models
- Geographically Weighted Random Forest (GWRF)
- Spatial analysis techniques
The goal is to identify spatial patterns in EMS response times and understand contributing factors.
If you see a CORS error in the browser console, it means you're trying to open the HTML file directly from the file system. To fix this, you need to run a local HTTP server using one of the methods above.