Geographically Weighted Random Forest Based on Spatial Factor Optimization for the Assessment of Landslide Susceptibility

Geographically Weighted Random Forest Based on Spatial Factor Optimization for the Assessment of Landslide Susceptibility

Landslide susceptibility mapping is a crucial tool for landslide disaster risk management. However, the spatial heterogeneity of landslide conditioning factors affects the accuracy of predictions. This study proposes a novel method combining GeoDetector and geographical weighted random forest (GeoD-...

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Bibliographic Details
Main Authors:	Feifan Lu, Guifang Zhang, Tonghao Wang, Yumeng Ye, Qinghao Zhao
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Series:	Remote Sensing
Subjects:	landslide susceptibility mapping GeoDetector geographical weighted random forest spatial heterogeneity
Online Access:	https://www.mdpi.com/2072-4292/17/9/1608
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