Comparison of landslide susceptibility maps using random forest and multivariate adaptive regression spline models in combination with catchment map units

Union score and fuzzy logic mineral prospectivity mapping using discretized and continuous spatial evidence values

(2017) Mahyar Yousefi et al.   JOURNAL OF AFRICAN EARTH SCIENCES

Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran

(2016) Omid Rahmati et al.   CATENA

Comparison of boosted regression tree and random forest models for mapping topsoil organic carbon concentration in an alpine ecosystem

(2016) Ren-Min Yang et al.   ECOLOGICAL INDICATORS

Different landslide sampling strategies in a grid-based bi-variate statistical susceptibility model

(2016) Haydar Y. Hussin et al.   GEOMORPHOLOGY

Data-driven logistic-based weighting of geochemical and geological evidence layers in mineral prospectivity mapping

(2016) Mahyar Yousefi et al.   JOURNAL OF GEOCHEMICAL EXPLORATION

Fuzzification of continuous-value spatial evidence for mineral prospectivity mapping

(2015) Mahyar Yousefi et al.   COMPUTERS & GEOSCIENCES

Geometric average of spatial evidence data layers: A GIS-based multi-criteria decision-making approach to mineral prospectivity mapping

(2015) Mahyar Yousefi et al.   COMPUTERS & GEOSCIENCES

Prediction–area (P–A) plot and C–A fractal analysis to classify and evaluate evidential maps for mineral prospectivity modeling

(2015) Mahyar Yousefi et al.   COMPUTERS & GEOSCIENCES

A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network

(2015) Liang-Jie Wang et al.   GEOSCIENCES JOURNAL

Mapping of rainfall-induced landslide susceptibility in Wencheng, China, using support vector machine

(2015) Cheng Su et al.   NATURAL HAZARDS

Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment

(2015) Himan Shahabi et al.   Scientific Reports

Data-Driven Index Overlay and Boolean Logic Mineral Prospectivity Modeling in Greenfields Exploration

(2015) Mahyar Yousefi et al.   Natural Resources Research

Application of frequency ratio, statistical index, and index of entropy models and their comparison in landslide susceptibility mapping for the Baozhong Region of Baoji, China

(2014) Wei Chen et al.   Arabian Journal of Geosciences

Landslide susceptibility mapping using ensemble bivariate and multivariate statistical models in Fayfa area, Saudi Arabia

(2014) Ahmed M. Youssef et al.   Environmental Earth Sciences

Landslide susceptibility mapping at Al-Hasher area, Jizan (Saudi Arabia) using GIS-based frequency ratio and index of entropy models

(2014) Ahmed M. Youssef et al.   GEOSCIENCES JOURNAL

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) Mohammad Zare et al.   Arabian Journal of Geosciences

Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the Turbolo River catchment (northern Calabria, Italy)

(2013) Massimo Conforti et al.   CATENA

Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models

(2013) Himan Shahabi et al.   CATENA

Landslide susceptibility analysis with logistic regression model based on FCM sampling strategy

(2013) Liang-Jie Wang et al.   COMPUTERS & GEOSCIENCES

An evaluation of SVM using polygon-based random sampling in landslide susceptibility mapping: The Candir catchment area (western Antalya, Turkey)

(2013) B. Taner San   International Journal of Applied Earth Observation and Geoinformation

Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression

(2013) Taskin Kavzoglu et al.   Landslides

Remote Sensing for Landslide Investigations: From Research into Practice

(2013) Marco Scaioni   Remote Sensing

Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China

(2012) Chong Xu et al.   COMPUTERS & GEOSCIENCES

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

(2012) Biswajeet Pradhan   COMPUTERS & GEOSCIENCES

Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg–Marquardt and Bayesian regularized neural networks

(2012) Dieu Tien Bui et al.   GEOMORPHOLOGY

A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Turkey

(2012) Adnan Ozdemir et al.   JOURNAL OF ASIAN EARTH SCIENCES

Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study

(2012) Ángel M. Felicísimo et al.   Landslides

A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey

(2011) A. Yalcin et al.   CATENA

Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area

(2011) Hyun-Joo Oh et al.   COMPUTERS & GEOSCIENCES

A GIS-based neuro-fuzzy procedure for integrating knowledge and data in landslide susceptibility mapping

(2010) Mohammad H. Vahidnia et al.   COMPUTERS & GEOSCIENCES

Landslide susceptibility mapping in Injae, Korea, using a decision tree

(2010) Young-Kwang Yeon et al.   ENGINEERING GEOLOGY

Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia

(2010) Ebru Akcapinar Sezer et al.   EXPERT SYSTEMS WITH APPLICATIONS

Assessing susceptibility to landslides: Using models to understand observed changes in slopes

(2010) Netra R. Regmi et al.   GEOMORPHOLOGY

Spatial agreement of predicted patterns in landslide susceptibility maps

(2010) S. Sterlacchini et al.   GEOMORPHOLOGY

Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches

(2010) B. Pradhan   Journal of the Indian Society of Remote Sensing

A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses

(2009) A. Nandi et al.   ENGINEERING GEOLOGY

Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine

(2009) Işık Yilmaz   Environmental Earth Sciences

Comparison of landslide susceptibility based on a decision-tree model and actual landslide occurrence: The Akaishi Mountains, Japan

(2009) Hitoshi Saito et al.   GEOMORPHOLOGY

Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA

(2009) Netra R. Regmi et al.   GEOMORPHOLOGY

GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China

(2009) Shi-Biao Bai et al.   GEOMORPHOLOGY

An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps

(2008) H.A. Nefeslioglu et al.   ENGINEERING GEOLOGY

Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China

(2008) X. Yao et al.   GEOMORPHOLOGY

Landslide Possibility Mapping Using Fuzzy Approaches

(2008) K. Muthu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Landslide risk assessment using concepts of danger pixels and fuzzy set theory in Darjeeling Himalayas

(2008) D. P. Kanungo et al.   Landslides

Comparing landslide inventory maps

(2007) Mirco Galli et al.   GEOMORPHOLOGY