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gaia is an empirical econometric model designed to estimate annual crop yield responses to climate impacts.

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R-CMD-check test-coverage codecov docs

Introduction

gaia is an open-source R package designed to estimate crop yield shocks in response to annual temperature and precipitation variations and CO2 concentrations at the country scale for 12 major crops. gaia streamlines the workflow from raw climate data processing to the production of different forms of yield shocks, such as agricultural productivity changes at the region-basin level, which can be directly integrated into the latest Global Change Analysis Model (GCAM).


https://jgcri.github.io/gaia/articles/vignette.html

Citation

Zhao, M., Waldhoff, S., Tebaldi, C., Snyder, A. 2024. gaia: An R package to estimate crop yield responses to temperature and precipitation. (In progress) Journal of Open Source Software, DOI: XXXX


Installation Guide

  1. Download and install:

  2. Open R studio:

install.packages("devtools")
devtools::install_github("JGCRI/gaia")

or

install.packages("remotes")
remotes::install_github("JGCRI/gaia")

Additional steps for UBUNTU from a terminal

sudo add-apt-repository ppa:ubuntugis/ppa
sudo apt-get update
sudo apt-get install libudunits2-dev libgdal-dev libgeos-dev libproj-dev libmagick++-dev

Additional steps for MACOSX from a terminal

brew install pkg-config
brew install gdal

Related Publications

Waldhoff, S.T., Wing, I.S., Edmonds, J., Leng, G. and Zhang, X., 2020. Future climate impacts on global agricultural yields over the 21st century. Environmental Research Letters, 15(11), p.114010. https://doi.org/10.1088/1748-9326/abadcb


Contributing

Whether you find a typo in the documentation, find a bug, or want to develop functionality that you think will make gaia more robust, you are welcome to contribute! The contributing page will walk you through processes to contribute to gaia.

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gaia is an empirical econometric model designed to estimate annual crop yield responses to climate impacts.

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