Pinned Repositories
.github
AquaCropPlotter
AquaCropPlotter is an R Shiny app for processing and visualizing FAO AquaCrop model output files.
ASIS
ASIS-Prediction
This repository contains the logic and code behind the development of a Machine Learning model for agricultural drought prediction based on observational and climate model data
CaboV_workshop
This repository contains material and information for training in CAVA Analytics and other R libraries as part of the readiness programme
CAVAanalytics
CAVAanalytics is a comprehensive framework for climate data analysis, offering streamlined access to data, advanced processing and visualization capabilities. It is designed to support a wide range of climate research and user needs
CAVAanalytics-Yemen
ISIMIP
This repository contains a script to easily download and process ISIMIP3 climate input data
Moldova-workshop
This repository contains slides and material used to train national stakeholders and extension workers on climate change and crop modeling as part of the readiness programme
Pakistan-workshop
Risk Team's Repositories
Risk-Team/CAVAanalytics
CAVAanalytics is a comprehensive framework for climate data analysis, offering streamlined access to data, advanced processing and visualization capabilities. It is designed to support a wide range of climate research and user needs
Risk-Team/AquaCropPlotter
AquaCropPlotter is an R Shiny app for processing and visualizing FAO AquaCrop model output files.
Risk-Team/.github
Risk-Team/ASIS
Risk-Team/ASIS-Prediction
This repository contains the logic and code behind the development of a Machine Learning model for agricultural drought prediction based on observational and climate model data
Risk-Team/CaboV_workshop
This repository contains material and information for training in CAVA Analytics and other R libraries as part of the readiness programme
Risk-Team/CAVAanalytics-Yemen
Risk-Team/ISIMIP
This repository contains a script to easily download and process ISIMIP3 climate input data
Risk-Team/Moldova-workshop
This repository contains slides and material used to train national stakeholders and extension workers on climate change and crop modeling as part of the readiness programme
Risk-Team/Pakistan-workshop
Risk-Team/pyAEZ-climate-module
function to create the climate data input requirements for pyAEZ using CAVA data