MPM-Geomechanics is a program that allows us to model the behavior of geo-materials, like soil and rock, when these materials are subjected to extreme conditions.
Repository for the Open Data for Resilience Index, a website to track and improve the state of Open Data for Resilience worldwide.
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."
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.
The MultiHazard R package provides tools for stationary multivariate statistical modeling such as of the joint distribution of MULTIple co-occurring HAZARDs.
TCHazaRds is an R package for Tropical Cyclone (Hurricane, Typhoon) Spatial Hazard Modelling.
Public repository for earthquake scenarios from the National catalogue / Dépôt public de scénarios de tremblements de terre du catalogue national
OpenDRR data downloads / Téléchargements de données OpenDRR
Scripts for estimating historic trends in GLOF occurrences and potential biases in reporting
Extreme value analysis using MATLAB
It integrates 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
elif oral. cv. research. earthquakes. engineering. geohazards. seismology
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.
Repository for lectures and practicals for PSF TelRiskNat 2025, Yachay Tech Univ. Ecuador
Evacuation Model Implementation using Mesa & Mesa-Geo
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.
Developed as a Shiny demonstrator for Web GIS/ Spatial Data Science courses at the University of Canterbury, NZ
A GeoAnnotator for Labeling LOCation descriptions from disaster-related text messages
A dataset of location descriptions from ten disasters
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