Geocarto International高引用文章

• Flood susceptibility assessment using integration of adaptive network-based fuzzy inference system (ANFIS) and biogeography-based optimization (BBO) and BAT algorithms (BA)

  引用次数：41

• Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea

  引用次数：41

• A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment

  引用次数：33

• Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree

  引用次数：25

• GIS-based groundwater potential mapping using artificial neural network and support vector machine models: the case of Boryeong city in Korea

  引用次数：23

• Mapping alteration mineral zones and lithological units in Antarctic regions using spectral bands of ASTER remote sensing data

  引用次数：23

• Modelling of land use land cover change using earth observation data-sets of Tons River Basin, Madhya Pradesh, India

  引用次数：22

• Spatial prediction of flood-susceptible areas using frequency ratio and maximum entropy models

  引用次数：22

• A comparison of Support Vector Machines and Bayesian algorithms for landslide susceptibility modelling

  引用次数：21

• A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment

  引用次数：19