Mapping wind erosion hazard with regression-based machine learning algorithms

Abstract Land susceptibility to wind erosion hazard in Isfahan province, Iran, was mapped by testing 16 advanced regression-based machine learning methods: Robust linear regression (RLR), Cforest, Non-convex penalized quantile regression (NCPQR), Neural network with feature extraction (NNFE), Monoto...

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Bibliographic Details
Main Authors: Hamid Gholami, Aliakbar Mohammadifar, Dieu Tien Bui, Adrian L. Collins
Format: Article
Language:English
Published: Nature Portfolio 2020-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-77567-0