Spatial Modeling in GIS and R for Earth and Environmental Sciences

Egypt Data mining Forest management GIS Floods Machine learning Landslides Exposure drone LDA Overexploitation Bayesian theory Model validation Artificial Neural Network ANN Natural Hazard Geospatial modeling Object-based image analysis Learning Vector Quantization QDA Error propagation Generalized linear model Compromise Programming Land Subsidence Flash Floods Logistic regression Multicriteria analysis Data mining techniques Electrical conductivity Landscape Indicators ICA Performance analysis AHP GLM Landslide monitoring Classification and regression trees Functional data analysis Genetic algorithm Imperfect Knowledge Morphometric Parameters Moving object detection Particle Swarm Optimization (PSO) Ensemble learning NDVI Agricultural water quality Aquifer salinity Artemisia aucheri Boruta algorithm cart Canonical correlation forest AUROC Boolean algorithm Cox point process Calibration and Validation FAHP Fire Ignition Flood Inundation Firoozeh watershed Flood conditioning factors Flood prioritization GNDVI Habitat suitability map Flood susceptibility Forest spatial planning HEC-RAS Forest fire modeling GEMI Frequency Ratio Gamma fuzzy operator Gully erosion Habitat suitability mapping Digital soil organic carbon mapping ecological interaction Integrated nested laplace approximation (INLA) HydroPSO Land use/cover change Ensemble modeling Maharloo watershed Linkage of GIS-R EUMETSAT extreme rainfall KINEROS2 Motion similarity graph Landsat satellite Landslide Inventory Landslide intensity Landslide spatial modeling Flash flood susceptibility assessment Multicriteria Evaluation Geomorphometric indices HEC-HMS Groundwater Potential Probability mapping IR’AHP Integrated Performance Index Landslide susceptibility Monitoring Model Multicollinearity Multigraph matching Multivariate regression model