How many residential buildings are within 3 miles of the 10 largest wildfire zones in your county? Which roads are evacuation bottlenecks? Where are the medical access gaps?

These are the questions this session answers, live.

We start with wildfire history perimeters and run a full hazard mitigation analysis using the Wherobots MCP server in VS Code and Claude Code. Here is what gets built:

Building exposure counts per fire zone. Using wildfire perimeter data and Overture Buildings, we count residential structures within a 3-mile buffer of each of the 10 largest fire zones in LA County.

Evacuation bottleneck identification. We cross Overture Transportation road network data against building density and posted speed limits to find high-density residential corridors served by low-speed-limit roads. These are the roads most likely to fail during a mass evacuation.

Medical access gap analysis. We identify residential clusters that are 20 or more minutes from a hospital using Overture Places data. These gaps become critical when road conditions degrade.

A scheduled quarterly job. The completed analysis gets scheduled as a production job so the numbers stay current each quarter.

A live emergency exposure map. We finish by building an app with fire perimeters, color-coded road segments, three analysis tabs, and a print-ready board briefing mode.

Datasets

  • Wildfire history (fire perimeters)
  • Overture Buildings (residential counts)
  • Overture Transportation (road network, speed limits)
  • Overture Places (hospital locations)

Who this is for

Emergency managers, state and local GIS teams, FEMA analysts, disaster relief organizations, and public safety planners.

Bonus for attendees

Sign up for a Pro trial within 7 days of attending and get a free 30-minute 1-on-1 session with a Wherobots spatial data engineer to adapt this demo to your data.

About the series

This is session 3 of our MCP live demo series. Check out the other sessions below: