Evaluation of landslide susceptibility models: A comparative study on the part of Western Ghat Region, India

Remote Sensing Applications Society and Environment ◽

10.1016/j.rsase.2018.10.010 ◽

2019 ◽

Vol 13 ◽

pp. 39-52 ◽

Author(s):

Somnath Bera ◽

Balamurugan Guru ◽

Ramesh V

Keyword(s):

Comparative Study ◽

Landslide Susceptibility ◽

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A comparative study of the bivariate, multivariate and machine-learning-based statistical models for landslide susceptibility mapping in a seismic-prone region in China

Arabian Journal of Geosciences ◽

10.1007/s12517-021-06630-5 ◽

2021 ◽

Vol 14 (6) ◽

Author(s):

Suhua Zhou ◽

Yunqiang Zhang ◽

Xin Tan ◽

Syed Muntazir Abbas

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Statistical Models ◽

Landslide Susceptibility ◽

Susceptibility Mapping ◽

Landslide Susceptibility Mapping

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Landslide Susceptibility Assessment Using Bagging Ensemble Based Alternating Decision Trees, Logistic Regression and J48 Decision Trees Methods: A Comparative Study

Geotechnical and Geological Engineering ◽

10.1007/s10706-017-0264-2 ◽

2017 ◽

Vol 35 (6) ◽

pp. 2597-2611 ◽

Author(s):

Binh Thai Pham ◽

Dieu Tien Bui ◽

Indra Prakash

Keyword(s):

Logistic Regression ◽

Comparative Study ◽

Decision Trees ◽

Landslide Susceptibility ◽

Susceptibility Assessment ◽

Landslide Susceptibility Assessment ◽

Bagging Ensemble

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A comparative study of an expert knowledge-based model and two data-driven models for landslide susceptibility mapping

CATENA ◽

10.1016/j.catena.2018.04.003 ◽

2018 ◽

Vol 166 ◽

pp. 317-327 ◽

Author(s):

A-Xing Zhu ◽

Yamin Miao ◽

Rongxun Wang ◽

Tongxin Zhu ◽

Yongcui Deng ◽

...

Keyword(s):

Comparative Study ◽

Landslide Susceptibility ◽

Expert Knowledge ◽

Susceptibility Mapping ◽

Data Driven ◽

Landslide Susceptibility Mapping ◽

Knowledge Based

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Integrating principal component analysis with statistically-based models for analysis of causal factors and landslide susceptibility mapping: A comparative study from the loess plateau area in Shanxi (China)

Journal of Cleaner Production ◽

10.1016/j.jclepro.2020.124159 ◽

2020 ◽

Vol 277 ◽

pp. 124159

Author(s):

Yaming Tang ◽

Fan Feng ◽

Zizheng Guo ◽

Wei Feng ◽

Zhengguo Li ◽

...

Keyword(s):

Principal Component Analysis ◽

Comparative Study ◽

Loess Plateau ◽

Landslide Susceptibility ◽

Principal Component ◽

Susceptibility Mapping ◽

Landslide Susceptibility Mapping ◽

The Loess Plateau ◽

Causal Factors ◽

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A comparative study on the integrative ability of the analytical hierarchy process, weights of evidence and logistic regression methods with the Flow-R model for landslide susceptibility assessment

Geomatics Natural Hazards and Risk ◽

10.1080/19475705.2020.1846086 ◽

2020 ◽

Vol 11 (1) ◽

pp. 2449-2485

Author(s):

Hien Minh Do ◽

Kun Long Yin ◽

Zi Zheng Guo

Keyword(s):

Logistic Regression ◽

Comparative Study ◽

Analytical Hierarchy Process ◽

Landslide Susceptibility ◽

Weights Of Evidence ◽

Susceptibility Assessment ◽

Regression Methods ◽

Landslide Susceptibility Assessment ◽

Hierarchy Process

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Mapping landslide susceptibility in the Zagros Mountains, Iran: a comparative study of different data mining models

Earth Science Informatics ◽

10.1007/s12145-019-00389-w ◽

2019 ◽

Vol 12 (4) ◽

pp. 615-628 ◽

Author(s):

Mohammad Fallah-Zazuli ◽

Alireza Vafaeinejad ◽

Ali Asghar Alesheykh ◽

Mahdi Modiri ◽

Hossein Aghamohammadi

Keyword(s):

Data Mining ◽

Comparative Study ◽

Landslide Susceptibility ◽

Zagros Mountains

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A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility

CATENA ◽

10.1016/j.catena.2016.11.032 ◽

2017 ◽

Vol 151 ◽

pp. 147-160 ◽

Author(s):

Wei Chen ◽

Xiaoshen Xie ◽

Jiale Wang ◽

Biswajeet Pradhan ◽

Haoyuan Hong ◽

...

Keyword(s):

Random Forest ◽

Comparative Study ◽

Landslide Susceptibility ◽

Logistic Model ◽

Regression Tree ◽

Spatial Prediction ◽

Classification And Regression Tree ◽

Tree Models ◽

Logistic Model Tree ◽

Classification And Regression

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A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)

Environmental Modelling & Software ◽

10.1016/j.envsoft.2016.07.005 ◽

2016 ◽

Vol 84 ◽

pp. 240-250 ◽

Author(s):

Binh Thai Pham ◽

Biswajeet Pradhan ◽

Dieu Tien Bui ◽

Indra Prakash ◽

M.B. Dholakia

Keyword(s):

Machine Learning ◽

Comparative Study ◽

Landslide Susceptibility ◽

Susceptibility Assessment ◽

Learning Methods ◽

Landslide Susceptibility Assessment ◽

Machine Learning Methods

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A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping

International Journal of Geographical Information Science ◽

10.1080/13658816.2020.1808897 ◽

2020 ◽

pp. 1-27 ◽

Author(s):

Zhice Fang ◽

Yi Wang ◽

Ling Peng ◽

Haoyuan Hong

Keyword(s):

Comparative Study ◽

Ensemble Learning ◽

Landslide Susceptibility ◽

Susceptibility Mapping ◽

Landslide Susceptibility Mapping ◽

Learning Techniques ◽

Heterogeneous Ensemble

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Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study

10.1007/s10346-012-0320-1 ◽

2012 ◽

Vol 10 (2) ◽

pp. 175-189 ◽

Author(s):

Ángel M. Felicísimo ◽

Aurora Cuartero ◽

Juan Remondo ◽

Elia Quirós

Keyword(s):

Logistic Regression ◽

Comparative Study ◽

Maximum Entropy ◽

Landslide Susceptibility ◽

Regression Trees ◽

Regression Splines ◽

Entropy Methods ◽

Adaptive Regression ◽

Classification And Regression ◽

Adaptive Regression Splines

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