Responses of China's dry grassland low‒growth to temperature‒ and water‒related extremes

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Authors: Shuo Zhou, Z. H. Zhao, Lei Wang, Deliang Chen, Xiuping Li, Dongliang Luo
Cited by: 0

Abstract

The main programming language used for coincidence analysis, sensitivity analysis, and drawing files is Python, primarily utilizing the geemap package, which is a key tool for running Google Earth Engine (GEE) in Python. Prior to execution, an independent account and authorization are required. The SEM code is written in R for constructing the PLS-SEM model, and count_all1 serves as the standardized input data for the model.

Fields of Study & Subjects

Climate change impacts on agriculture Climate variability and models Climate Change and Environmental Impact

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 January 2026