Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines

By Haoyuan Hong, Biswajeet Pradhan, Chong Xu, D. Tien Bui. 2015

432 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Management, Monitoring, Policy and Law, Soil Science

View Paper: https://www.semanticscholar.org/paper/cb207a207e1a01da90f5626f6f6db444ac15a914

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In Global and Planetary Change

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Citations in the corpus

Application and Comparison of Decision Tree-Based Machine Learning Methods in Landside Susceptibility Assessment at Pauri Garhwal Area, Uttarakhand, India (2017, methodology): “The ROC curve method is based on two statistical values of Bsensitivity^ and B100-specificity^ (Bai et al. 2010; Hong et al. 2015).”
A comparative assessment of canonical correlation forest, random forest, rotation forest and logistic regression methods for landslide susceptibility mapping (2018, methodology): “Therefore, as they were employed in many studies in the literature, LULC and NDVI parameters were used as separate input factors for producing landslide susceptibility maps (Hong et al. 2015; Chen et al. 2016; Hong et al. 2018).”
Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods (2017, background): “…and Altural 2013) Over the decades, the topic of landslide susceptibility mapping has been turning into one of the most attentions to many researchers throughout the world (Dou et al. 2015c; Hong et al. 2015b; Kavzoglu et al. 2015; Pareek et al. 2013; Shahabi et al. 2014; Tien Bui et al. 2014b).”
Landslide susceptibility modelling using different advanced decision trees methods (2018, methodology): “To train the ADT model, the number of boosting iterations is needed to be determined (Hong et al. 2015).”
Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree (2019, background): “Land use is another anthropogenic factor used in the present study, which has been reported as an important factor that indirectly influences the occurrence of landslides (Hong et al. 2015).”