136
K. Shrestha et al.
Pourghasemi HR (2008) Landslide hazard assessment using fuzzy logic (Case Study: A part of
Haraz watershed), M.Sc. Thesis, Tarbiat Modarres University International Campus. Iran, p 92
Pourghasemi HR, Moradi HR, Aghda SF (2013) Landslide susceptibility mapping by binary logistic
regression, analytical hierarchy process, and statistical index models and assessment of their
performances. Nat Hazards 69(1):749–779
Pourghasemi HR, Pradhan B, Gokceoglu C, Moezzi KD (2012) Landslide susceptibility mapping
using a spatial multi criteria evaluation model at Haraz Watershed, Iran. In: Terrigenous mass
movements. Springer, Berlin, Heidelberg, pp 23–49
Pradhan B, Lee S (2010) Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic
regression modelling. Environ Model Softw 25(6):747–759
Provost FJ, Fawcett T (1997) Analysis and visualization of classifier performance: comparison under
imprecise class and cost distributions. In: Heckerman D, Mannila H, Pregibon D, Uthurusamy R
(eds) Proceedings of the 3rd international conference on knowledge discovery and data mining
(KDD-97). Menlo Park (CA), AAAI Press, pp 43–48, 14 Aug 1997
Provost FJ, Fawcett T, Kohavi R (1998) The case against accuracy estimation for comparing induction algorithms. In: Shavlik J (ed) Proceedings of the ICML 1998. San Francisco (CA), Morgan
Kaufmann, pp 445–453, 24 July 1998
Rossi M, Guzzetti F, Reichenbach P, Mondini AC, Peruccacci S (2010) Optimal landslide
susceptibility zonation based on multiple forecasts. Geomorphology 114:129–142
Tian H, Nan H, Yang Z (2010) Select landslide susceptibility main affecting factors by multi
objective optimization algorithm. In: Proceedings of the 6th international conference on natural
computation (ICNC 10), pp 1830–1833
TU-CDES (2016) Landslide inventory characterization and engineering design for mitigation works
of Chure Area in ten districts. Central Department of Environmental Science, Tribhuvan University and Government of Nepal, President Chure-Tarai Madhesh Conservation Development
Board, Kathmandu
UNDP (2009) Found on August 10, 2009. http://www.undp.org/mdtf/UN-REDD/overview.shtml
Vakhshoori V, Zare M (2018) Is the ROC curve a reliable tool to compare the validity of landslide
susceptibility maps? Geomatics, Nat Hazards Risk 9(1):249–266
Van Westen CJ (1997) Statistical landslide hazard analysis. Application Guide, ILWIS 2.1 for
Windows. Enschede
Youssef AM, Pourghasemim HR, Pourtaghi ZS, Al-Katheeri MM (2016) Landslide susceptibility
mapping using random forest, boosted regression tree, classification and regression tree, and
general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region,
Saudi Arabia. Landslides 13(5):839–856
K. Shrestha et al.
Pourghasemi HR (2008) Landslide hazard assessment using fuzzy logic (Case Study: A part of
Haraz watershed), M.Sc. Thesis, Tarbiat Modarres University International Campus. Iran, p 92
Pourghasemi HR, Moradi HR, Aghda SF (2013) Landslide susceptibility mapping by binary logistic
regression, analytical hierarchy process, and statistical index models and assessment of their
performances. Nat Hazards 69(1):749–779
Pourghasemi HR, Pradhan B, Gokceoglu C, Moezzi KD (2012) Landslide susceptibility mapping
using a spatial multi criteria evaluation model at Haraz Watershed, Iran. In: Terrigenous mass
movements. Springer, Berlin, Heidelberg, pp 23–49
Pradhan B, Lee S (2010) Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic
regression modelling. Environ Model Softw 25(6):747–759
Provost FJ, Fawcett T (1997) Analysis and visualization of classifier performance: comparison under
imprecise class and cost distributions. In: Heckerman D, Mannila H, Pregibon D, Uthurusamy R
(eds) Proceedings of the 3rd international conference on knowledge discovery and data mining
(KDD-97). Menlo Park (CA), AAAI Press, pp 43–48, 14 Aug 1997
Provost FJ, Fawcett T, Kohavi R (1998) The case against accuracy estimation for comparing induction algorithms. In: Shavlik J (ed) Proceedings of the ICML 1998. San Francisco (CA), Morgan
Kaufmann, pp 445–453, 24 July 1998
Rossi M, Guzzetti F, Reichenbach P, Mondini AC, Peruccacci S (2010) Optimal landslide
susceptibility zonation based on multiple forecasts. Geomorphology 114:129–142
Tian H, Nan H, Yang Z (2010) Select landslide susceptibility main affecting factors by multi
objective optimization algorithm. In: Proceedings of the 6th international conference on natural
computation (ICNC 10), pp 1830–1833
TU-CDES (2016) Landslide inventory characterization and engineering design for mitigation works
of Chure Area in ten districts. Central Department of Environmental Science, Tribhuvan University and Government of Nepal, President Chure-Tarai Madhesh Conservation Development
Board, Kathmandu
UNDP (2009) Found on August 10, 2009. http://www.undp.org/mdtf/UN-REDD/overview.shtml
Vakhshoori V, Zare M (2018) Is the ROC curve a reliable tool to compare the validity of landslide
susceptibility maps? Geomatics, Nat Hazards Risk 9(1):249–266
Van Westen CJ (1997) Statistical landslide hazard analysis. Application Guide, ILWIS 2.1 for
Windows. Enschede
Youssef AM, Pourghasemim HR, Pourtaghi ZS, Al-Katheeri MM (2016) Landslide susceptibility
mapping using random forest, boosted regression tree, classification and regression tree, and
general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region,
Saudi Arabia. Landslides 13(5):839–856