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 realise they are dealing with spatial data, the demand for specialised statistical and mathematical methods designed to deal with spatial data is undergoing a rapid increase.
Responding to this demand, The Handbook of Spatial Analysis is a comprehensive and authoritative discussion of issues and techniques in the field of Spatial Data Analysis. Its principal focus is on:
• why the analysis of spatial data needs separate treatment
• the main areas of spatial analysis
• the key debates within spatial analysis
• examples of the application of various spatial analytical techniques
• problems in spatial analysis
• areas for future research
Aimed at an international audience of academics, The Handbook of Spatial Analysis will also prove essential to graduate level students and researchers in government agencies and the private sector.
Table of Content
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
About the author
Peter A. Rogerson is SUNY (State University of New York) Distinguished Professor in the Department of Geography at the University at Buffalo, Buffalo, New York, USA. He also holds an adjunct appointment in the Department of Biostatistics.
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