Published January 7, 2026
| Version v1
Journal article
Open
Responses of China's dry grassland low‒growth to temperature‒ and water‒related extremes
Authors/Creators
- 1. Institute of Tibetan Plateau Research, Chinese Academy of Sciences
- 2. Appraisal Center for Environment and Engineering, Ministry of Ecology and Environment
- 3. Department of Earth System Science, Tsinghua University
- 4. Key Laboratory of Cryospheric Science and Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences
Description
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.