Integrating spatial clustering and multi-source geospatial data for comprehensive geological hazard modeling in Hunan Province

Integrating spatial clustering and multi-source geospatial data for comprehensive geological hazard modeling in Hunan Province

Abstract This study presents an integrated framework that combines spatial clustering techniques and multi-source geospatial data to comprehensively assess and understand geological hazards in Hunan Province, China. The research integrates self-organizing map (SOM) and geo-self-organizing map (Geo-S...

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Bibliographic Details
Main Authors: Weifeng Xiao, Ziyuan Zhou, Bozhi Ren, Xinping Deng
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Geological hazards
Self-organizing map (SOM)
Composite geological hazard index
Linear mixed models (LMMs)
Spatial heterogeneity
Online Access:https://doi.org/10.1038/s41598-024-84825-y
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https://doi.org/10.1038/s41598-024-84825-y

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