articleTop 1% cited
Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia
Geomorphology · 2018 · Vol. 318 · pp. 101–111
Aril Aditian✉(Kyushu University)Tetsuya Kubota(Kyushu University)Yoshinori Shinohara(Kyushu University)
Landslides and related hazardsGeotechnical Engineering and AnalysisTree Root and Stability StudiesLandslideLogistic regressionReceiver operating characteristicLithologyBivariate analysisGeologyElevation (ballistics)Artificial neural networkMultivariate statisticsGeomorphology
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References
The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan
Geomorphology · 2004 · 1,873 citations
GIS-based landslide susceptibility mapping for the 2005 Kashmir earthquake region
Geomorphology · 2008 · 475 citations
Artificial Neural Networks applied to landslide susceptibility assessment
Geomorphology · 2004 · 562 citations
Landslide inventory maps: New tools for an old problem
Earth-Science Reviews · 2012 · 1,989 citations
Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong
Geomorphology · 2002 · 1,137 citations
Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
Geomorphology · 1999 · 2,581 citations
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