Insights into geospatial heterogeneity of landslide susceptibility based on the SHAP-XGBoost model

The spatial heterogeneity of landslide influencing factors is the main reason for the poor generalizability of the susceptibility evaluation model. This study aimed to construct a comprehensive explanatory framework for landslide susceptibility evaluation models based on the SHAP (SHapley Additive e...

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Bibliographic Details
Published in:	Journal of environmental management Vol. 332; p. 117357
Main Authors:	Zhang, Junyi, Ma, Xianglong, Zhang, Jialan, Sun, Deliang, Zhou, Xinzhi, Mi, Changlin, Wen, Haijia
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 15.04.2023
Subjects:	algorithms Artificial Intelligence Databases, Factual Disasters environmental management Explainability Generalizability Geographic Information Systems Geospatial heterogeneity hydrology Influencing factors Landslide susceptibility Landslides lithology meteorology mountains prediction quantitative analysis rain satellites spatial data spatial variation topography vegetation Landslide susceptibility Geospatial heterogeneity Generalizability Influencing factors Explainability
ISSN:	0301-4797, 1095-8630, 1095-8630
Online Access:	Get full text
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