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Aditian, Aril, Kubota, Tetsuya, Shinohara, Yoshinori (2018) Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia. Geomorphology, 318. 101-111 doi:10.1016/j.geomorph.2018.06.006

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Reference TypeJournal (article/letter/editorial)
TitleComparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia
JournalGeomorphology
AuthorsAditian, ArilAuthor
Kubota, TetsuyaAuthor
Shinohara, YoshinoriAuthor
Year2018 (October)Volume318
PublisherElsevier BV
DOIdoi:10.1016/j.geomorph.2018.06.006Search in ResearchGate
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Mindat Ref. ID949451Long-form Identifiermindat:1:5:949451:4
GUID0
Full ReferenceAditian, Aril, Kubota, Tetsuya, Shinohara, Yoshinori (2018) Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia. Geomorphology, 318. 101-111 doi:10.1016/j.geomorph.2018.06.006
Plain TextAditian, Aril, Kubota, Tetsuya, Shinohara, Yoshinori (2018) Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia. Geomorphology, 318. 101-111 doi:10.1016/j.geomorph.2018.06.006
In(2018) Geomorphology Vol. 318. Elsevier BV

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Choi, Jaewon, Oh, Hyun-Joo, Lee, Hong-Jin, Lee, Changwook, Lee, Saro (2012) Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS. Engineering Geology, 124. 12-23 doi:10.1016/j.enggeo.2011.09.011
Gokceoglu, C. (2012) Discussion on “Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS” by Choi et al. (2012), Engineering Geology, 124, 12–23. Engineering Geology, 129. 104-105 doi:10.1016/j.enggeo.2012.01.008
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Yilmaz, Işık (2009) Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat—Turkey) Computers & Geosciences, 35 (6) 1125-1138 doi:10.1016/j.cageo.2008.08.007
Polykretis, Christos, Chalkias, Christos (2018) Comparison and evaluation of landslide susceptibility maps obtained from weight of evidence, logistic regression, and artificial neural network models. Natural Hazards, 93. 249-274 doi:10.1007/s11069-018-3299-7
Ayalew, Lulseged, Yamagishi, Hiromitsu (2005) The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology, 65 (1) 15-31 doi:10.1016/j.geomorph.2004.06.010
Gautam, Pawan, Kubota, Tetsuya, Sapkota, Lok Mani, Shinohara, Yoshinori (2021) Landslide susceptibility mapping with GIS in high mountain area of Nepal: a comparison of four methods. Environmental Earth Sciences, 80 (9) doi:10.1007/s12665-021-09650-2
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Pradhan, Biswajeet, Lee, Saro (2010) Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling. Environmental Modelling & Software, 25 (6). 747-759 doi:10.1016/j.envsoft.2009.10.016
Wang, Liang-Jie, Guo, Min, Sawada, Kazuhide, Lin, Jie, Zhang, Jinchi (2016) A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network. Geosciences Journal, 20. 117-136 doi:10.1007/s12303-015-0026-1
 
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