Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgements
- Introduction
- Part A The context for spatial data analysis
- Part B Spatial data: obtaining data and quality issues
- Part C The exploratory analysis of spatial data
- Part D Hypothesis testing and spatial autocorrelation
- Part E Modelling spatial data
- Appendix I Software
- Appendix II Cambridgeshire lung cancer data
- Appendix III Sheffield burglary data
- Appendix IV Children excluded from school: Sheffield
- References
- Index
Appendix I - Software
Published online by Cambridge University Press: 06 July 2010
- Frontmatter
- Contents
- Preface
- Acknowledgements
- Introduction
- Part A The context for spatial data analysis
- Part B Spatial data: obtaining data and quality issues
- Part C The exploratory analysis of spatial data
- Part D Hypothesis testing and spatial autocorrelation
- Part E Modelling spatial data
- Appendix I Software
- Appendix II Cambridgeshire lung cancer data
- Appendix III Sheffield burglary data
- Appendix IV Children excluded from school: Sheffield
- References
- Index
Summary
The following is a short listing of software that is available for implementing some of the methods described in this book. A good source of information on specialist spatial analysis software is provided by the website of the Centre for Spatially Integrated Social Science: www.csiss.org: There is a spatial tools menu which includes a search engine.
Spatial statistical capability has been added to some geographic information systems. ESRI's ArcGIS (version 8.1) provides Geostatistical Analyst. This undertakes kriging, including modelling the semi-variogram, exploratory spatial data analysis (including identifying global and local outliers, trends and spatial autocorrelation) and interpolation (inverse distance weighting, local and global polynomial surface fitting and kriging). The module Spatial Analyst enables raster and vector data to be integrated. The website for information is: www.esri.com/software
Semi-variogram and kriging software are available in GENSTAT and SAS and in MLP from the Numerical Algorithms Group at Oxford.
S+SpatialStats is an add-on to S-PLUS from Mathsoft (www.mathsoft.com). It has geostatistical capability (variogram modelling, ordinary and universal kriging). Spatial regression modelling (with conditional autoregressive, simultanous autoregressive or moving average errors) is included. There are autocorrelation tests and point process methods.
The package Stat! from Biomedware (www.biomedware.com) has a number of tests including clustering tests and Moran's spatial autocorrelation test as well as Oden's modification. The Biomedware site provides access to Luc Anselin's SpaceStat, a package that has many exploratory spatial data analysis tools and also has advanced spatial regression modelling (spatial econometric) tools including modelling with spatially lagged response variables as predictors.
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- Information
- Spatial Data AnalysisTheory and Practice, pp. 379 - 380Publisher: Cambridge University PressPrint publication year: 2003