The SAGE Handbook of Spatial Analysis

Edited by:

A Stewart Fotheringham - National University of Ireland, Maynooth, Ireland
Peter A Rogerson - Arizona State University, USA, State University of New York, Buffalo, USA, University of Buffalo, USA

Other Titles in:
Geographical Methodology | Geography, Earth & Environmental Science | Research Methods & Evaluation (General)

December 2008 | 528 pages | SAGE Publications Ltd

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.

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

"The text offers a solid platform for senior and graduate student research projects, and educators will also find it useful for updating course materials and developing practical applications from the examples, references, and other material."

Robert J. Legg

Northern Michigan University

JOURNAL OF REGIONAL SCIENCE

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