Geographically weighted summary statistics - a framework for localised exploratory data analysis

C. Brunsdon, Stewart Fotheringham, M. Charlton

Research output: Contribution to journalArticle

105 Scopus citations

Abstract

Geographical kernel weighting is proposed as a method for deriving local summary statistics from geographically weighted point data. These local statistics are then used to visualise geographical variation in the statistical distribution of variables of interest. Univariate and bivariate summary statistics are considered, for both moment-based and order-based approaches. Several aspects of visualisation are considered. Finally, an example based on house price data is presented.

Original languageEnglish (US)
Pages (from-to)501-524
Number of pages24
JournalComputers, Environment and Urban Systems
Volume26
Issue number6
DOIs
Publication statusPublished - Nov 2002
Externally publishedYes

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Keywords

  • Geographical kernel weighting
  • Localised exploratory data analysis

ASJC Scopus subject areas

  • Ecological Modeling
  • Environmental Science(all)
  • Geography, Planning and Development

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