Geographically weighted local statistics applied to binary data

Chris Brunsdon, Stewart Fotheringham, Martin Charlton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

This paper considers the application of geographically weighting to summary statistics for binary data. We argue that geographical smoothing techniques that are applied to descriptive statistics for ratio and interval scale data may also be applied to descriptive statistics for binary categorical data. Here we outline how this may be done, focussing attention on the odds ratio statistic used for summarising the linkage between a pair of binary variables. An example of this is applied to data relating to house sales, based on over 30,000 houses in the United Kingdom. The method is used to demonstrate that time trends in the building of detached houses vary throughout the country.

Original languageEnglish (US)
Title of host publicationGeographic Information Science - 2nd International Conference, GIScience 2002, Proceedings
EditorsMax J. Egenhofer, David M. Mark
PublisherSpringer Verlag
Pages38-50
Number of pages13
ISBN (Print)9783540442530
DOIs
StatePublished - Jan 1 2002
Externally publishedYes
Event2nd International Conference on Geographic Information Science, GIScience 2002 - Boulder, United States
Duration: Sep 25 2002Sep 28 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2478
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Geographic Information Science, GIScience 2002
CountryUnited States
CityBoulder
Period9/25/029/28/02

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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