Progress in Geospatial Analysis /
| Autor Corporativo: | |
|---|---|
| Otros Autores: | |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Tokyo :
Springer Japan : Imprint: Springer,
2012.
|
| Edición: | 1st ed. 2012. |
| Materias: |
Tabla de Contenidos:
- 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.