Predicting the Spatial Distribution of Geological Hazards in Southern Sichuan, China, Using Machine Learning and ArcGIS

Predicting the Spatial Distribution of Geological Hazards in Southern Sichuan, China, Using Machine Learning and ArcGIS

Geological hazards in Southern Sichuan have become increasingly frequent, posing severe risks to local communities and infrastructure. This study aims to predict the spatial distribution of potential geological hazards using machine learning models and ArcGIS-based spatial analysis. A dataset compri...

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Bibliographic Details
Main Authors: Ruizhi Zhang, Dayong Zhang, Bo Shu, Yang Chen
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Land
Subjects:
rural settlements
potential geological hazards
machine learning
hazard prevention and mitigation
Southern Sichuan region
Online Access:https://www.mdpi.com/2073-445X/14/3/577
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