Factor analysis of surface collapse on slopes caused by the July 2017 Northern Kyushu Heavy Rain.
Author:
Affiliation:
1. Graduate School of Science and Technology, Kumamoto University
2. Faculty of Advanced Science and Technology, Kumamoto University
Publisher
Ecology and Civil Engineering Society
Subject
Ecology,Civil and Structural Engineering
Link
https://www.jstage.jst.go.jp/article/ece/23/1/23_185/_pdf
Reference4 articles.
1. Breiman L. (2001) Random Forests. Machine Learning 45: 5-32.
2. Chen W., Sun Z. & Han J. (2019)Landslide susceptibility modeling using integrated ensemble weights of evidence with logistic regression and random forest model. Applied Sciences 9: 171-199.
3. Pearce J. & Ferrier S. (2000) Evaluating the predictive performance of habitat models developed using logistic of habitat regression. Ecological Modelling 133: 225-245.
4. Sun X., Chen J., Han X., Bao Y., Zhan J. & Peng W. (2019)Application of a GIS-based slope unit method for landslide susceptibility mapping along the rapidly uplifting section of the upper Jinsha River, South-Western China. Bulletin of Engineering Geology and the Environment 79: 533-549.
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