The Sage Handbook of Spatial Analysis

by
Format: Hardcover
Pub. Date: 2009-01-14
Publisher(s): SAGE Publications Ltd
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Summary

The widespread use of Geographical Information Systems (GIS) has significantly increased the demand for knowledge about spatial analytical techniques across a range of disciplines. As growing numbers of researchers realize they are dealing with spatial data, the demand for specialized statistical and mathematical methods designed to deal with spatial data is undergoing a rapid increase. Responding to this demand, The SAGE Handbook of Spatial Analysis is a comprehensive and authoritative discussion of issues and techniques in the field of spatial data analysis.

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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