A comparison of three exploratory methods for cluster detection in spatial point patterns

Stewart Fotheringham, F. Benjamin Zhan

Research output: Contribution to journalArticle

83 Citations (Scopus)

Abstract

This paper compares the performances of three exploratory methods for cluster detection in spatial point patterns where the at-risk population is known. After reviewing two existing methods, Openshaw et al. (1987) and Besag and Newell (1991), an alternative method is introduced. These three methods are then compared empirically using two point patterns drawn from a disaggregate housing database consisting of 28,832 observations. Each observation in the data set contains attributes of single-family detached dwellings in the City of Amherst, New York. This paper provides some new insights into the performance of the three methods, as previous applications have used spatially aggregated (and hence rather inaccurate) data. The paper also demonstrates the utility of GIS for this type of spatial analysis.

Original languageEnglish (US)
Pages (from-to)200-218
Number of pages19
JournalGeographical Analysis
Volume28
Issue number3
StatePublished - Jul 1996
Externally publishedYes

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spatial analysis
performance
Geographical Information System
GIS
housing
detection
comparison
method
attribute
city
single family dwelling

ASJC Scopus subject areas

  • Geography, Planning and Development

Cite this

A comparison of three exploratory methods for cluster detection in spatial point patterns. / Fotheringham, Stewart; Zhan, F. Benjamin.

In: Geographical Analysis, Vol. 28, No. 3, 07.1996, p. 200-218.

Research output: Contribution to journalArticle

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