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.

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

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