GIS-Based Landslide Susceptibility Mapping using Logistic Regression, Instability Index, and Support Vector Machine: Case Study of the Jingshan River, Taiwan

Susceptibility Mapping ◽

Support Vector ◽

Instability Index

Evaluation of landslide susceptibility mapping by evidential belief function, logistic regression and support vector machine models

Geomatics Natural Hazards and Risk ◽

10.1080/19475705.2018.1481147 ◽

2018 ◽

Vol 9 (1) ◽

pp. 1053-1070 ◽

Cited By ~ 16

Author(s):

Hyun-Joo Oh ◽

Prima Riza Kadavi ◽

Chang-Wook Lee ◽

Saro Lee

Keyword(s):

Support Vector Machine ◽

Logistic Regression ◽

Belief Function ◽

Susceptibility Mapping ◽

Support Vector ◽

Evidential Belief Function

Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China

Geomorphology ◽

10.1016/j.geomorph.2008.02.011 ◽

2008 ◽

Vol 101 (4) ◽

pp. 572-582 ◽

Cited By ~ 285

Author(s):

X. Yao ◽

L.G. Tham ◽

F.C. Dai

Keyword(s):

Support Vector Machine ◽

Hong Kong ◽

Susceptibility Mapping ◽

Support Vector ◽

Natural Slopes

Earthquake-induced landslide susceptibility mapping: Application and Comparison of Frequency Ratio, Logistic Regression, Weight of Evidence and Support Vector Machine

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/304/4/042011 ◽

2019 ◽

Vol 304 (4) ◽

pp. 042011

Author(s):

Suhua Zhou ◽

Yunqiang Zhang ◽

Jingkang Xing ◽

Changfu Chen ◽

Ligang Fang

Keyword(s):

Support Vector Machine ◽

Logistic Regression ◽

Frequency Ratio ◽

Susceptibility Mapping ◽

Weight Of Evidence ◽

Support Vector ◽

Regression Weight

GIS-based landslide susceptibility mapping with logistic regression, analytical hierarchy process, and combined fuzzy and support vector machine methods: a case study from Wolong Giant Panda Natural Reserve, China

Bulletin of Engineering Geology and the Environment ◽

10.1007/s10064-015-0786-x ◽

2015 ◽

Vol 75 (3) ◽

pp. 923-944 ◽

Cited By ~ 31

Author(s):

Qingkai Meng ◽

Fang Miao ◽

Jing Zhen ◽

Xinyuan Wang ◽

An Wang ◽

...

Keyword(s):

Support Vector Machine ◽

Logistic Regression ◽

Analytical Hierarchy Process ◽

Giant Panda ◽

Support Vector ◽

Natural Reserve ◽

Hierarchy Process

Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine

Environmental Earth Sciences ◽

10.1007/s12665-009-0394-9 ◽

2009 ◽

Vol 61 (4) ◽

pp. 821-836 ◽

Cited By ~ 310

Author(s):

Işık Yilmaz

Keyword(s):

Neural Networks ◽

Support Vector Machine ◽

Logistic Regression ◽

Artificial Neural Networks ◽

Conditional Probability ◽

Susceptibility Mapping ◽

Support Vector ◽

Artificial Neural

A comparative approach of support vector machine kernel functions for GIS-based landslide susceptibility mapping

Applied Geomatics ◽

10.1007/s12518-021-00393-0 ◽

2021 ◽

Author(s):

Khalil Valizadeh Kamran ◽

Bakhtiar Feizizadeh ◽

Behnam Khorrami ◽

Yousef Ebadi

Keyword(s):

Support Vector Machine ◽

Kernel Functions ◽

Susceptibility Mapping ◽

Comparative Approach ◽

Support Vector

Landslide susceptibility mapping & prediction using Support Vector Machine for Mandakini River Basin, Garhwal Himalaya, India

Geomorphology ◽

10.1016/j.geomorph.2017.06.013 ◽

2017 ◽

Vol 295 ◽

pp. 115-125 ◽

Cited By ~ 39

Author(s):

Deepak Kumar ◽

Manoj Thakur ◽

Chandra S. Dubey ◽

Dericks P. Shukla

Keyword(s):

Support Vector Machine ◽

River Basin ◽

Susceptibility Mapping ◽

Garhwal Himalaya ◽

Support Vector

Landslide susceptibility mapping using backpropagation neural networks and logistic regression: The Sephidargole case study, Semnan, Iran

Geomechanics and Geoengineering ◽

10.1080/17486025.2011.560289 ◽

2011 ◽

Vol 6 (3) ◽

pp. 237-250 ◽

Cited By ~ 3

Author(s):

M. Khamehchiyan ◽

P. Abdolmaleki ◽

B. Rakei

Keyword(s):

Neural Networks ◽

Logistic Regression ◽

Susceptibility Mapping ◽

Backpropagation Neural Networks

Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

Geomatics Natural Hazards and Risk ◽

10.1080/19475705.2017.1407368 ◽

2017 ◽

Vol 9 (1) ◽

pp. 49-69 ◽

Cited By ~ 102

Author(s):

Bahareh Kalantar ◽

Biswajeet Pradhan ◽

Seyed Amir Naghibi ◽

Alireza Motevalli ◽

Shattri Mansor

Keyword(s):

Neural Networks ◽

Support Vector Machine ◽

Logistic Regression ◽

Artificial Neural Networks ◽

Training Data ◽

Data Selection ◽

Support Vector ◽

Training Data Selection

Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)

Geomatics Natural Hazards and Risk ◽

10.1080/19475705.2016.1250112 ◽

2016 ◽

Vol 8 (2) ◽

pp. 544-569 ◽

Cited By ~ 40

Author(s):

Haoyuan Hong ◽

Biswajeet Pradhan ◽

Dieu Tien Bui ◽

Chong Xu ◽

Ahmed M. Youssef ◽

...

Keyword(s):

Support Vector Machines ◽

Kernel Functions ◽

Susceptibility Mapping ◽

Support Vector ◽

Vector Machines