Landslides susceptibility mapping using Geographically Weighted Regression with Gaussian distance weighting kernel and comparison with Logistic regression algorithm : a case study in Semirom, Isfahan, Iran
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Index date: 14 December 2018
Landslides susceptibility mapping using Geographically Weighted Regression with Gaussian distance weighting kernel and comparison with Logistic regression algorithm : a case study in Semirom, Isfahan, Iran abstract
Landslides susceptibility mapping using Geographically Weighted Regression with Gaussian distance weighting kernel and comparison with Logistic regression algorithm : a case study in Semirom, Isfahan, Iran Keywords:
Landslides susceptibility mapping using Geographically Weighted Regression with Gaussian distance weighting kernel and comparison with Logistic regression algorithm : a case study in Semirom, Isfahan, Iran authors
GIS M.Sc. Student at School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran,
Assistant Professor at School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran,
Assistant Professor at School of Civil Engineering, Shahrood University of Technology, Shahrood, Iran,