The SAGE Handbook of Spatial Analysis / Edition 1

The SAGE Handbook of Spatial Analysis / Edition 1

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SAGE Publications


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The SAGE Handbook of Spatial Analysis / Edition 1

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.

Product Details

ISBN-13: 9781412910828
Publisher: SAGE Publications
Publication date: 01/14/2009
Pages: 528
Product dimensions: 7.20(w) x 9.90(h) x 1.50(d)

About the Author

I am Professor of Geography and Biostatistics at the University at Buffalo. My research interests are in the area of demography and population change, epidemiology, spatial statistics, and spatial analysis. My current work is focused upon the development of new methods for the quick detection of newly emergent clusters in geographic data (for example, how does one determine as quickly as possible whether there is a new cluster of crime or disease?).

Table of Contents

Introduction - Stewart Fotheringham and Peter A Rogerson
The Special Nature of Spatial Data - Robert Haining
The Role of GIS - David Martin
Geovisualisation and Geovisual Analytics - Urška Demšar
Availability of Spatial Data Mining Techniques - Shashi Shekhar et al
Spatial Autocorrelation - Marie-José Fortin and Mark R T Dale
The Modifiable Areal Unit Problem (MAUP) - David Wong
Spatial Weights - Robin Dubin
Geostatistics and Spatial Interpolation - Peter M Atkinson and Christopher D Lloyd
Spatial Sampling - Eric Delmelle
Statistical Inference for Geographical Processes - Chris Brunsdon
Fuzzy Sets in Spatial Analysis - Vincent B Robinson
Geographically Weighted Regression - Stewart Fotheringham
Spatial Regression - Luc Anselin
Spatial Microsimulation - D Ballas and G P Clarke
Detection of Clustering in Spatial Data - Lance Waller
Bayesian Spatial Analysis - Andrew B Lawson and Sudipto Banerjee
Monitoring Changes in Spatial Patterns - Peter A Rogerson
Case-Control Clustering for Mobile Populations - Geoffrey M Jacquez and Jaymie R Meliker
Neural Networks for Spatial Data Analysis - Manfred M Fischer
Geocomputation - Harvey J Miller
Applied Retail Location Models Using Spatial Interaction Tools - Morton E O'Kelly
Spatial Analysis on a Network - Atsuyuki Okabe and Toshiaki Satoh
Challenges in Spatial Analysis - Michael F Goodchild
The Future for Spatial Analysis - Reginald G Golledge

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