global-historical-yield

Overview

This repository contains a reproducible pipeline for processing the Global Dataset of Historical Yield (Iizumi, 2019; Iizumi & Sakai, 2020) in R.

You can access the pipeline here.

Data Availability

The processed data are available in the tif format via a dedicated repository on the Open Science Framework (OSF), accessible here. You can also access these files directly from R using the osfr package.

How to Use

The pipeline is fully reproducible. It was developed using the Quarto publishing system and the R programming language. To ensure consistent results, the renv package is used to manage and restore the R environment.

After installing the three dependencies mentioned above, follow these steps to reproduce the analyses:

1. Clone this repository to your local machine.
2. Open the project in your preferred IDE.
3. Restore the R environment by running renv::restore() in the R console. This will install all required software dependencies.
4. Open index.qmd and run the code as described in the report.

How to Cite

Important

When using this data, you must also cite the original data sources.

To cite this work, please use the following format:

Vartanian, D., & Carvalho, A. M. (2025). A reproducible pipeline for processing the Global Dataset of Historical Yields (1981–2016) by Iizumi et al. [Computer software]. Sustentarea Research and Extension Group of the University of São Paulo. https://sustentarea.github.io/global-historical-yield

A BibTeX entry for LaTeX users is

@misc{vartanian2025,
  title = {A reproducible pipeline for processing the Global Dataset of Historical Yields (1981–2016) by Iizumi et al.},
  author = {{Daniel Vartanian} and {Aline Martins de Carvalho}},
  year = {2025},
  address = {São Paulo},
  institution = {Sustentarea Research and Extension Group of the University of São Paulo},
  langid = {en},
  url = {https://sustentarea.github.io/global-historical-yield}
}

License

Important

The original data sources may have their own license terms and conditions.

The code in this repository is licensed under the GNU General Public License Version 3, while the report is available under the Creative Commons CC0 License.

Copyright (C) 2025 Daniel Vartanian

The code in this repository is free software: you can redistribute it and/or
modify it under the terms of the GNU General Public License as published by the
Free Software Foundation, either version 3 of the License, or (at your option)
any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY
WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with
this program. If not, see <https://www.gnu.org/licenses/>.

Acknowledgments

This work was developed with support from the Sustentarea Research and Extension Center of the University of São Paulo (USP).

This work was supported by the Department of Science and Technology of the Secretariat of Science, Technology, and Innovation and of the Health Economic-Industrial Complex (SECTICS) of the Ministry of Health of Brazil, and the National Council for Scientific and Technological Development (CNPq) (grant no. 444588/2023-0).