Spatial prediction of the geological hazard vulnerability of mountain road network using machine learning algorithms-Reference-Cited by-同舟云学术

Spatial prediction of the geological hazard vulnerability of mountain road network using machine learning algorithms

Published:2023-01-25 Issue:1 Volume:14 Page:
ISSN:1947-5705
Container-title:Geomatics, Natural Hazards and Risk
language:en
Short-container-title:Geomatics, Natural Hazards and Risk

Author:

Huang Siyi¹,Dou Hongqiang¹²,Jian Wenbin¹²,Guo Chaoxu²,Sun Yongxin³

Affiliation:

1. Zijin School of Geology and Mining, Fuzhou University, Fuzhou, China

2. Fujian Key Laboratory of Geohazard Prevention, Fuzhou, Fujian, China

3. Zhiyuan Electric Power Design Consulting Co. LTD, Jinan, China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19475705.2023.2170832

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4. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan

5. GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China

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