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Summary
Table of Contents
Introduction | |
The Special Nature of Spatial Data | |
The Role of GIS | |
Geovisualisation and Geovisual Analytics | |
Availability of Spatial Data Mining Techniques | |
Spatial Autocorrelation | |
The Modifiable Areal Unit Problem (MAUP) | |
Spatial Weights | |
Geostatistics and Spatial Interpolation | |
Spatial Sampling | |
Statistical Inference for Geographical Processes | |
Fuzzy Sets in Spatial Analysis | |
Geographically Weighted Regression | |
Spatial Regression | |
Spatial Microsimulation | |
Detection of Clustering in Spatial Data | |
Bayesian Spatial Analysis | |
Monitoring Changes in Spatial Patterns | |
Case-Control Clustering for Mobile Populations | |
Neural Networks for Spatial Data Analysis | |
Geocomputation | |
Applied Retail Location Models Using Spatial Interaction Tools | |
Spatial Analysis on a Network | |
Challenges in Spatial Analysis | |
The Future for Spatial Analysis | |
Table of Contents provided by Ingram. All Rights Reserved. |
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