Data of variability and joint variability of global crop yields and their association with climate

We present the output data of Robust Principal Component Analysis (RPCA) applied to global crop yield variability of maize, rice, sorghum and soybean (MRSS) as presented in the publication “Climate drives variability and joint variability of global crop yields” (Najafi et al., 2019). Global maps of...

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Detalles Bibliográficos
Autores principales: Najafi, Ehsan, Pal, Indrani, Khanbilvardi, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Earth and Planetary Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660635/
https://www.ncbi.nlm.nih.gov/pubmed/31372410
http://dx.doi.org/10.1016/j.dib.2019.103745

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660635/
https://www.ncbi.nlm.nih.gov/pubmed/31372410
http://dx.doi.org/10.1016/j.dib.2019.103745

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