A Global Slowdown in the Enhancement of Urban Vegetation Growth
This code is designed for model training and prediction as part of the research presented in the paper "A Global Slowdown in the Enhancement of Urban Vegetation Growth". It focuses on analyzing historical and future scenario data to evaluate urban vegetation growth trends under different Shared Socioeconomic Pathways (SSPs).For detailed methods and parameter settings, please refer to the original paper.
Institutions
- Central South University of Forestry and Technology (CN)
- Bangor University (GB)
- Peking University (CN)
- Hainan University (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-19
- DOI
- https://doi.org/10.5281/zenodo.15244080
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00