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      Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

      1 , 1 , 2 , 3 , 3 , 1
      Geomatics, Natural Hazards and Risk
      Informa UK Limited

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          A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant

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            Support vector machines in remote sensing: A review

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              The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan

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                Author and article information

                Journal
                Geomatics, Natural Hazards and Risk
                Geomatics, Natural Hazards and Risk
                Informa UK Limited
                1947-5705
                1947-5713
                December 06 2017
                January 2018
                December 06 2017
                January 2018
                : 9
                : 1
                : 49-69
                Affiliations
                [1 ] Department of Civil Engineering, Faculty of Engineering, University Putra Malaysia, Serdang, Malaysia
                [2 ] School of Systems, Management and Leadership, Faculty of Engineering and Information Technology, University of Technology Sydney, New South Wales, Australia
                [3 ] Department of Watershed Management Engineering, College of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran
                Article
                10.1080/19475705.2017.1407368
                29c37010-0b45-4b44-9ab4-5d60bee64c08
                © 2018
                History

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