Using statistical learning algorithms in regional landslide susceptibility zonation with limited landslide field data

Journal of Mountain Science

Volumn 12, Issue 2, 2015, Pages 268-288

  Wang, Yi ting ^a,b   Seijmonsbergen, Arie Christoffel ^c   Bouten, Willem ^c   Chen, Qing tao ^d  

^a BEIJING NORMAL UNIVERSITY   (China)

^b National Marine Data and Information Center   (China)

^c UNIVERSITY OF AMSTERDAM   (Netherlands)

^d CHENGDU UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Artificial Neural Network (ANN); Landslide Susceptibility Zonation (LSZ); Logistic Regression (LR); Regional scale; Southwest China; Support Vector Machine (SVM)

Indexed keywords

ALGORITHM; ARTIFICIAL NEURAL NETWORK; ENVIRONMENTAL FACTOR; GEOLOGICAL MAPPING; HAZARD ASSESSMENT; LANDSLIDE; LEARNING; REGRESSION ANALYSIS; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE;

CHINA; HANZHONG; SHAANXI;

EID: 84925725572     PISSN: 16726316     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11629-014-3134-x     Document Type: Article

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