Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques

• Published in: Geoderma Vol. 305; pp. 314 - 327
• Main Authors: Chen, Wei, Pourghasemi, Hamid Reza, Kornejady, Aiding, Zhang, Ning
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2017
• Subjects: agricultural land; ANN; chi-square distribution; China; Ensemble models; environmental factors; land cover; land use; landslides; limestone; Maximum entropy; neural networks; normalized difference vegetation index; prediction; rivers; roads; Spatial modeling; support vector machines; SVM; topography; China; ANN; Ensemble models; SVM; Maximum entropy; Spatial modeling

“Spatial contraindication” is what exactly landslide susceptibility models have been seeking. They are designed for depicting perilous land activities, be it natural or anthropological. To find this pattern, three well-known machine learning models namely maximum entropy (MaxEnt), support vector mac...