Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression

Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression

Landslides cause a considerable amount of damage around the world every year. Landslide susceptibility assessments are useful for the mitigation of the associated potential risks to local economic development, land use planning, and decision makers. The main aim of this study was to present a novel...

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Bibliographic Details
Main Authors: Wei Chen, Himan Shahabi, Shuai Zhang, Khabat Khosravi, Ataollah Shirzadi, Kamran Chapi, Binh Thai Pham, Tingyu Zhang, Lingyu Zhang, Huichan Chai, Jianquan Ma, Yingtao Chen, Xiaojing Wang, Renwei Li, Baharin Bin Ahmad
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Applied Sciences
Subjects:
landslide
meta classifier
prediction power
China
Online Access:https://www.mdpi.com/2076-3417/8/12/2540

Internet

https://www.mdpi.com/2076-3417/8/12/2540

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