Visualization for Riesgo
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Updated
Sep 1, 2019 - JavaScript
Visualization for Riesgo
Repository for the Open Data for Resilience Index, a website to track and improve the state of Open Data for Resilience worldwide.
The Risk Data Library Standard (RDLS) is an open data standard to make it easier to work with disaster and climate risk data. It provides a common description of the data used and produced in risk assessments, including hazard, exposure, vulnerability, and modelled loss, or impact, data.
Machine learning-assisted Python tool for landslide susceptibility mapping and uncertainty analysis.
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."
SSRS RO4 - Disaster Research Group is a research group of IPB SSRS Association
WordPress code for RiskProfiler.ca, developed by HabitatSeven
A python package to make easier modelling hazards and risk changes
Index-based multi-hazard vulnerability assessment methodology for churches
A prototype disaster preparedness game in C#/MonoGame.
This project aims to order, structure, preprocess, analyze, and try to feed the data to a Machine Learning model to find statistics and meaningful numbers that can help us predict the what, when, and where of the occurrence of the upcoming Catastrophes.
OpenSendaiBench: A benchmark dataset for building exposure and vulnerability dynamics
A working repository for the PhD research project on auditing the global disaster risk to assess whether countries are making progress on the Sendai Framework from the perspective of probabilistic catastrophe models and artificial intelligence
LáMRAG (Local Management Platform for Risk Analytics & Governance) is a proposed integrated data collection, incident reporting, and data analysis system for the Calbayog City Disaster Risk Reduction & Management Office (CDRRMO).
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