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About this book
About this book
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" and areas for future research Aimed at an international audience of academics.
Introduction 2. The Special Nature of Spatial Data - Stewart Fotheringham and Peter A. Rogerson 3. The role of GIS - Robert Haining 4. Geovisualisation and Geovisual Analytics - David Martin 5. Availability of Spatial Data Mining Techniques - UrA ka DemA ar 6. Spatial Autocorrelation - Shashi Shekhar, Vijay Gandhi, Pusheng Zhaqng, and Ranga Raju Vatsavai 7. The Modifiable Areal Unit Problem (MAUP) - Marie-Jose Fortin and Mark R.T. Dale 8. Spatial Weights - David Wong 9. Geostatistics and Spatial Interpolation - Robin Dubin 10. Spatial Sampling - Peter M. Atkinson and Christopher D. Lloyd 11. Statistical Inference for Geographical Processes - Eric Delmelle 12. Fuzzy Sets in Spatial Analysis - Chris Brunsdon 13. Geographically Weighted Regression - Vincent B. Robinson 14. Spatial Regression - Stewart Fotheringham 15. Spatial Microsimulation - Luc Anselin 16. Detection of Clustering in Spatial Data - D Ballas and G P Clarke 17. Bayesian Spatial Analysis - Lance Waller 18. Monitoring Changes in Spatial Patterns - Andrew B. Lawson and Sudipto Banerjee 19. Case-Control Clustering for Mobile Populations - Peter A. Rogerson 20. Neural Networks for Spatial Data Analysis - Geoffrey M. Jacquez and Jaymie R. Meliker 21. Geocomputation - Manfred M. Fischer 22. Applied retail location models using spatial interaction tools - Harvey J. Miller 23. Spatial analysis on a network - Morton E. O'Kelly 24. Challenges in Spatial Analysis - Atsuyuki Okabe and Toshiaki Satoh 25. The Future for Spatial Analysis - Michael F. Goodchild
Peter A. Rogerson is Professor of Geography and holds an adjunct appointment in the Department of Biostatistics, at the University at Buffalo, USA.