Progress in Geospatial Analysis
This book examines current trends and developments in the methods and applications of geospatial analysis and highlights future development prospects. It provides a comprehensive discussion of remote sensing- and geographical information system (GIS)-based data processing techniques, current practic...
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Format: | Electronic eBook |
Language: | English |
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Tokyo :
Springer Japan : Imprint: Springer,
2012.
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Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.