A Stewart Fotheringham & Peter A. Rogerson 
The SAGE Handbook of Spatial Analysis [PDF ebook] 

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.

Inhoudsopgave

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

Over de auteur

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.