Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China)-Reference-Cited by-同舟云学术

Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China)

Published:2018-03-13 Issue:1 Volume:78 Page:247-266
ISSN:1435-9529
Container-title:Bulletin of Engineering Geology and the Environment
language:en
Short-container-title:Bull Eng Geol Environ

Author:

Chen Wei^ORCID,Yan Xusheng,Zhao Zhou,Hong Haoyuan^ORCID,Bui Dieu Tien,Pradhan Biswajeet

Funder

China Postdoctoral Science Foundation

Project funded by Shaanxi Province Postdoctoral Science Foundation

Scientific Research Program Funded by Shaanxi Provincial Education Department

Open Fund of Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Minerals

Open-ended Fund of the Key Laboratory for Geo-hazard in Loess Areas, Ministry of Land and Resources of China

Publisher

Springer Science and Business Media LLC

Subject

Geology,Geotechnical Engineering and Engineering Geology

Link

http://link.springer.com/article/10.1007/s10064-018-1256-z/fulltext.html

Reference67 articles.

1. Aghdam IN, Varzandeh MHM, Pradhan B (2016) Landslide susceptibility mapping using an ensemble statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) model at Alborz Mountains (Iran). Environ Earth Sci 75:1–20

2. Althuwaynee OF, Pradhan B, Lee S (2016) A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison. Int J Remote Sens 37:1190–1209

3. Andrews DW (1988) Chi-square diagnostic tests for econometric models: introduction and applications. J Econ 37:135–156

4. Booth AM et al (2015) Integrating diverse geologic and geodetic observations to determine failure mechanisms and deformation rates across a large bedrock landslide complex: the Osmundneset landslide, Sogn og Fjordane, Norway. Landslides 12:745–756

5. Carlini M et al (2016) Tectonic control on the development and distribution of large landslides in the northern Apennines (Italy). Geomorphology 253:425–437

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