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    • 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
      R
      GNU General Public License v3.0
      01100Updated Nov 29, 2024Nov 29, 2024
    • function to create the climate data input requirements for pyAEZ using CAVA data
      Python
      1000Updated Nov 26, 2024Nov 26, 2024
    • AquaCropPlotter is an R Shiny app for processing and visualizing FAO AquaCrop model output files.
      R
      1600Updated Aug 10, 2024Aug 10, 2024
    • Jupyter Notebook
      0000Updated Aug 4, 2024Aug 4, 2024
    • ASIS

      Public
      Jupyter Notebook
      1000Updated Jul 5, 2024Jul 5, 2024
    • Pakistan-workshop

      Public archive
      0000Updated May 13, 2024May 13, 2024
    • .github

      Public
      0000Updated Apr 29, 2024Apr 29, 2024
    • 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
      0000Updated Feb 22, 2024Feb 22, 2024
    • ISIMIP

      Public
      This repository contains a script to easily download and process ISIMIP3 climate input data
      Shell
      1000Updated Jan 12, 2024Jan 12, 2024
    • Moldova-workshop

      Public archive
      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
      Roff
      0000Updated Jul 13, 2023Jul 13, 2023
    • CaboV_workshop

      Public archive
      This repository contains material and information for training in CAVA Analytics and other R libraries as part of the readiness programme
      Jupyter Notebook
      0000Updated Mar 24, 2023Mar 24, 2023