Spatial nonstationarity and autoregressive models

C. Brunsdon, Stewart Fotheringham, M. Charlton

Research output: Contribution to journalArticle

93 Citations (Scopus)

Abstract

Until relatively recently, the emphasis of spatial analysis was on the investigation of global models and global processes. Recent research, however, has tended to explore exceptions to general processes, and techniques have been developed which have as their focus the investigation of spatial variations in local relationships. One of these techniques, known as geographically weighted regression (GWR), developed by the authors is used here to investigate spatial variations in spatial association. The particular framework in which spatial association is examined here is the spatial autoregressive model of Ord, although the technique can easily be applied to any form of spatial autocorrelation measurement. The conceptual and theoretical foundations of GWR applied to the Ord model are followed by an empirical example which uses data on owner-occupation in the housing market of Tyne and Wear in northeast England where the problems of relying on global models of spatial association are demonstrated. This empirical investigation of spatial variations in spatial autocorrelation prompts a further discussion of several issues concerning the statistical technique.

Original languageEnglish (US)
Pages (from-to)957-973
Number of pages17
JournalEnvironment and Planning A
Volume30
Issue number6
StatePublished - Jun 1998
Externally publishedYes

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spatial variation
autocorrelation
housing market
spatial analysis
regression
occupation
global model

ASJC Scopus subject areas

  • Environmental Science (miscellaneous)
  • Geography, Planning and Development

Cite this

Spatial nonstationarity and autoregressive models. / Brunsdon, C.; Fotheringham, Stewart; Charlton, M.

In: Environment and Planning A, Vol. 30, No. 6, 06.1998, p. 957-973.

Research output: Contribution to journalArticle

Brunsdon, C, Fotheringham, S & Charlton, M 1998, 'Spatial nonstationarity and autoregressive models', Environment and Planning A, vol. 30, no. 6, pp. 957-973.
Brunsdon, C. ; Fotheringham, Stewart ; Charlton, M. / Spatial nonstationarity and autoregressive models. In: Environment and Planning A. 1998 ; Vol. 30, No. 6. pp. 957-973.
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