A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping

[1]  B. Pradhan,et al.  Landslide Susceptibility Assessment in Vietnam Using Support Vector Machines, Decision Tree, and Naïve Bayes Models , 2012 .

[2]  Vincent Kakembo,et al.  Land use changes on the slopes of Mount Elgon and the implications for the occurrence of landslides , 2012 .

[3]  Chong Xu,et al.  Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis , 2014, Landslides.

[4]  Vicki G. Moon,et al.  Comparison of bivariate and multivariate statistical approaches in landslide susceptibility mapping at a regional scale , 2012 .

[5]  Arthur Getis,et al.  Point pattern analysis , 1985 .

[6]  B. Pradhan,et al.  Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya , 2012, Natural Hazards.

[7]  R. Soeters,et al.  Landslide hazard and risk zonation—why is it still so difficult? , 2006 .

[8]  B. Pradhan,et al.  Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms , 2013, Arabian Journal of Geosciences.

[9]  B. Pradhan,et al.  Landslide Susceptibility Mapping Along the National Road 32 of Vietnam Using GIS-Based J48 Decision Tree Classifier and Its Ensembles , 2014 .

[10]  C. Gokceoglu,et al.  GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran) , 2014, Arabian Journal of Geosciences.

[11]  P. Bühlmann,et al.  Boosting With the L2 Loss , 2003 .

[12]  L. Ayalew,et al.  The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan , 2005 .

[13]  Saro Lee,et al.  Determination and application of the weights for landslide susceptibility mapping using an artificial neural network , 2004 .

[14]  Edgar Berrezueta,et al.  Landslides in the Central Coalfield (Cantabrian Mountains, NW Spain): Geomorphological features, conditioning factors and methodological implications in susceptibility assessment , 2007 .

[15]  J. Poesen,et al.  Spatial patterns, causes and consequences of landslides in the Gilgel Gibe catchment, SW Ethiopia , 2012 .

[16]  Chen Cheng,et al.  Combined landslide susceptibility mapping after Wenchuan earthquake at the Zhouqu segment in the Bailongjiang Basin, China , 2012 .

[17]  Reservoir Water-Transparency Mapping by Means of Multispectral Ikonos Imagery , 2014 .

[18]  Jacek Malczewski,et al.  GIS and Multicriteria Decision Analysis , 1999 .

[19]  H. A. Nefeslioglu,et al.  An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps , 2008 .

[20]  Manfred F. Buchroithner,et al.  Landslide hazard and risk analyses at a landslide prone catchment area using statistical based geospatial model , 2011 .

[21]  E. Carranza.  Controls on mineral deposit occurrence inferred from analysis of their spatial pattern and spatial association with geological features , 2009 .

[22]  B. Pradhan,et al.  Landslide susceptibility mapping at Golestan Province, Iran: A comparison between frequency ratio, Dempster-Shafer, and weights-of-evidence models , 2012 .

[23]  A. N. Strahler.  Quantitative analysis of watershed geomorphology , 1957 .

[24]  Kenneth Lange,et al.  Mathematical and Statistical Methods for Genetic Analysis , 1997 .

[25]  T. Saaty.  Analytic Hierarchy Process , 2005 .

[26]  M. Crozier.  Prediction of rainfall-triggered landslides: a test of the Antecedent Water Status Model , 1999 .

[27]  Mustafa Neamah Jebur,et al.  Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS , 2013 .

[28]  Saro Lee,et al.  Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: case study of Youngin, Korea , 2007 .

[29]  S. Menard.  Coefficients of Determination for Multiple Logistic Regression Analysis , 2000 .

[30]  Xu Weiya,et al.  GIS-based landslide hazard assessment: an overview , 2005 .

[31]  No-Wook Park,et al.  Application of Dempster-Shafer theory of evidence to GIS-based landslide susceptibility analysis , 2011 .

[32]  A. R. Mahmud,et al.  Prediction of slope failures using bivariate statistical based index of entropy model , 2012, 2012 IEEE Colloquium on Humanities, Science and Engineering (CHUSER).

[33]  John Shawe-Taylor,et al.  Generalization Performance of Support Vector Machines and Other Pattern Classifiers , 1999 .

[34]  Rouabhia Abdelkader,et al.  Geochemical characterization of groundwater from shallow aquifer surrounding Fetzara Lake N. E. Algeria , 2010, Arabian Journal of Geosciences.

[35]  T. L. Saaty.  A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[36]  P. Aleotti,et al.  Landslide hazard assessment: summary review and new perspectives , 1999 .

[37]  Lucien Duckstein,et al.  A Multiple Criteria Decision-Making Approach to GIS-Based Land Suitability Evaluation , 1993, Int. J. Geogr. Inf. Sci..

[38]  S. Reis,et al.  A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics , 2011 .

[39]  G. Rawat,et al.  Application of binary logistic regression analysis and its validation for landslide susceptibility mapping in part of Garhwal Himalaya, India , 2007 .

[40]  Biswajeet Pradhan,et al.  Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of , 2012 .

[41]  A. Dempster.  Upper and Lower Probabilities Generated by a Random Closed Interval , 1968 .

[42]  John C. Davis,et al.  Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA , 2003 .

[43]  Alessio Ishizaka,et al.  Analytic Hierarchy Process and Expert Choice: Benefits and limitations , 2009, OR Insight.

[44]  Lior Rokach,et al.  Ensemble-based classifiers , 2010, Artificial Intelligence Review.

[45]  D. Hosmer,et al.  Applied Logistic Regression , 1991 .

[46]  L. Ayalew,et al.  Landslides in Sado Island of Japan: Part II. GIS-based susceptibility mapping with comparisons of results from two methods and verifications , 2005 .

[47]  Kagan Tumer,et al.  Robust Order Statistics Based Ensembles for Distributed Data Mining , 2001 .

[48]  Biswajeet Pradhan,et al.  A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS , 2013, Comput. Geosci..

[49]  Tomislav Hengl,et al.  Finding the right pixel size , 2006, Comput. Geosci..

[50]  Saro Lee.  Application of Likelihood Ratio and Logistic Regression Models to Landslide Susceptibility Mapping Using GIS , 2004, Environmental management.

[51]  Joydeep Ghosh,et al.  Cluster ensembles , 2011, Data Clustering: Algorithms and Applications.

[52]  Norman Kerle,et al.  Landslide hazard and risk assessment using semi-automatically created landslide inventories , 2013 .

[53]  Farrokh Nadim,et al.  Statistical modelling of Europe-wide landslide susceptibility using limited landslide inventory data , 2012, Landslides.

[54]  G. Bonham-Carter.  Geographic Information Systems for Geoscientists: Modelling with GIS , 1995 .

[55]  Biswajeet Pradhan,et al.  Application of an evidential belief function model in landslide susceptibility mapping , 2012, Comput. Geosci..

[56]  B. Pradhan,et al.  Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg–Marquardt and Bayesian regularized neural networks , 2012 .

[57]  Shibiao Bai,et al.  GIS-based rare events logistic regression for landslide-susceptibility mapping of Lianyungang, China , 2011 .

[58]  K. Beven,et al.  A physically based, variable contributing area model of basin hydrology , 1979 .

[59]  Biswajeet Pradhan,et al.  Approaches for delineating landslide hazard areas using different training sites in an advanced artificial neural network model , 2010, Geo spatial Inf. Sci..

[60]  V. Doyuran,et al.  A comparison of the GIS based landslide susceptibility assessment methods: multivariate versus bivariate , 2004 .

[61]  Biswajeet Pradhan,et al.  Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area , 2011, Comput. Geosci..

[62]  Saro Lee,et al.  Statistical analysis of landslide susceptibility at Yongin, Korea , 2001 .

[63]  C. F. Lee,et al.  Landslide characteristics and, slope instability modeling using GIS, Lantau Island, Hong Kong , 2002 .

[64]  Kyoji Sasa,et al.  Landslides : disaster risk reduction , 2009 .

[65]  Torsten Schaub,et al.  The variability of root cohesion as an influence on shallow landslide susceptibility in the Oregon Coast Range , 2001 .

[66]  P. Kayastha,et al.  Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal , 2013, Comput. Geosci..

[67]  C. Westen,et al.  Selecting and weighting spatial predictors for empirical modeling of landslide susceptibility in the Darjeeling Himalayas (India) , 2011 .

[68]  B. Pradhan,et al.  Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran , 2012, Natural Hazards.

[69]  Biswajeet Pradhan,et al.  Landslide susceptibility mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS , 2012, Comput. Geosci..

[70]  Saro Lee,et al.  Application of data-driven evidential belief functions to landslide susceptibility mapping in Jinbu, Korea , 2013 .

[71]  B. Pradhan.  Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches , 2010 .

[72]  Aykut Akgün,et al.  Landslide risk as an environmental threat for Izmir (West Turkey) city and its urban expansion , 2010 .

[73]  A. Akgun,et al.  Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multicriteria decision analysis , 2010 .

[74]  D. Bui,et al.  Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression , 2011 .

[75]  B. Pradhan,et al.  A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS , 2013 .

[76]  Biswajeet Pradhan,et al.  An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm , 2012, Comput. Geosci..

[77]  B. Pradhan,et al.  Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran , 2012 .

[78]  Karen Fontijn,et al.  Landslide susceptibility assessment in Limbe (SW Cameroon): A field calibrated seed cell and information value method , 2012 .