Sinopsis
From the Contents: Part I Geospatial Data Acquisition and Processing.- Multispectral Classification of Remote Sensing Data for Geospatial Analysis.- Part II Geospatial Theories and Methods.- Fuzzy Set Theory in Geospatial Analysis.- Spatial Prominence and Spatial Weights Matrix in Geospatial Analysis.- Geographically Weighted Regression in Geospatial Analysis.- Weight of Evidence in Geospatial Analysis.- Markov-Cellular Automata in Geospatial Analysis.- Multilayer Perceptron Neural Networks in Geospatial Analysis.- Part III Applications in Geospatial Analysis.- Urban Growth Modeling Using Bayesian Probability Function.- Land Suitability Assessment Using a Fuzzy Multi-Criteria Evaluation.- Neighborhood Interaction in Urban Land-Use Changes Using Cellular Automata-Based.
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