Insights into geospatial heterogeneity of landslide susceptibility based on the SHAP-XGBoost model
Chongqing Normal University · Chongqing University of Technology · +3 more institutions
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
559
total citations
- FWCI
- 226.34
- Percentile
- 100%
- References
- 41
Citations per year
Authors
9- JZJunyi ZhangCorresponding
Chongqing Normal University, Chongqing University of Technology
- JZJunyi Zhang
Chongqing Normal University, Chongqing University, Chongqing University of Technology
- XMXianglong Ma
Chongqing Normal University, Chongqing University, New Technology (Israel)
- JZJialan Zhang
Chongqing Normal University, Chongqing University, Chongqing University of Technology
- JZJialan ZhangCorresponding
Chongqing Normal University, Chongqing University, New Technology (Israel), Chongqing University of Technology
Topics & keywords
Topics
Keywords
- Landslide
- Geospatial analysis
- Generalizability theory
- Spatial heterogeneity
- Physical geography
- Lithology
- Vegetation (pathology)
- Representativeness heuristic
UN Sustainable Development Goals
- Climate action
No related works found for this paper.