Classifying Space and Analysing the Consequences: Spatial Analysis of Health Data

  • Robert Haining
Conference paper
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Summary

The paper classifies the main forms of spatial analysis and briefly reviews advances in spatial analysis over the last twenty years. The paper then considers three problem areas using health data for illustration: (i) how to construct a spatial framework for analysis; (ii) how to construct reliable area rates that recognize the spatial distribution of areas and their variable populations; (iii) how to test for relationships between variables when rates vary in reliability and there may be spatial autocorrelation in the unexplained variation. The paper briefly considers the potentially important role of geographic information systems in the field of spatial data analysis.

Keywords

Covariance Resid Petrol Autocorrelation 

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Copyright information

© Springer-Verlag Berlin · Heidelberg 1996

Authors and Affiliations

  • Robert Haining
    • 1
  1. 1.Department of GeographyUniversity of SheffieldSheffieldUK

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