disaster-data

Open geographic query engine — ask place-based questions in natural language, get answers on a map. Covers disasters, demographics, economics, and climate data across 40+ sources.

All about eagle-i-outage-data

Unofficial, beta. Two coverage measurements over California's public wildfire datasets, published as counts: FRAP's historical fire perimeters and CAL FIRE's DINS damage inspections. Each operationalizes a limitation the publisher already states, so a code meaning unknown is never counted as a recorded value.

Machine Learning Web App to analyse disaster data from Figure Eight using machine learning model for an API that classifies disaster messages.

Containerized Python suite for integrating climate and disaster datasets with real-time LLM querying via ClimateGPT.