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. It also includes indirect effect (ωi ,%) of urban vegetation growth in global.
Institutions
- Central South University of Forestry and Technology (CN)
- Bangor University (GB)
- Peking University (CN)
- Hainan University (CN)
- Fudan University (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-12-04
- DOI
- https://doi.org/10.5281/zenodo.14959623
- Primary Topic
- Land Use and Ecosystem Services
- Type
- article
- Field-Weighted Citation Impact
- 0.00