A dataset of location descriptions from ten disasters

Every year, Miami experiences flooding from heavy rain, king tides, and rising sea levels — even on sunny days. Neighborhoods like Brickell, Little River, and Shorecrest often see water pooling in the streets, damaging cars, homes, and businesses. That’s why I created FloodGuard Miami for our community.

Synthesizing data from reconnaissance reports conducted by GEER, documenting observed geotechnical failures post-hurricane and a framework for assessing damages by analyzing the types, degrees, and socio-economic impacts of geotechnical failures, alongside their geographical distribution in relation to landfall and trajectory.

This repo consists of the codes used for a paper titled "DISFUNCTIONALITY HAZARD: A RISK-BASED TOOL TO SUPPORT THE RESILIENT DESIGN OF SYSTEMS SUBJECTED TO SINGLE HAZARDS AND MULTIHAZARDS."

Evacuation Model Implementation using Mesa & Mesa-Geo

MCP server for Swiss environmental data – air quality (NABEL), hydrology, natural hazards (BAFU)

Repository for lectures and practicals for PSF TelRiskNat 2025, Yachay Tech Univ. Ecuador

A GeoAnnotator for Labeling LOCation descriptions from disaster-related text messages

This repository hosts the Natural Hazards Classifier, a logistic regression-based machine learning model for predicting landslide risks using historical and real-time environmental data.

TCHazaRds is an R package for Tropical Cyclone (Hurricane, Typhoon) Spatial Hazard Modelling.

CATIA is a catastrophe AI system that integrates advanced artificial intelligence, actuarial science, risk analysis, and machine learning to provide robust assessments of natural hazards such as hurricanes, floods, and wildfires, with a focus on financial impacts and mitigation strategies

Data download website

elif oral. cv. research. earthquakes. engineering. geohazards. seismology

Tsunami Squares - Open source tsunami propagation and inundation model adapted from Prof. Steven Ward's research. Visit Prof. John Rundle's homepage at UC Davis for support and updates.

Developed as a Shiny demonstrator for Web GIS/ Spatial Data Science courses at the University of Canterbury, NZ

The MultiHazard R package provides tools for stationary multivariate statistical modeling such as of the joint distribution of MULTIple co-occurring HAZARDs.

Future changes in European windstorm characteristics under different climate scenarios.

Scripts for estimating historic trends in GLOF occurrences and potential biases in reporting

Extreme value analysis using MATLAB

OpenDRR data downloads / Téléchargements de données OpenDRR