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 language | English (US) |
|---|---|
| Pages (from-to) | 200-218 |
| Number of pages | 19 |
| Journal | Geographical Analysis |
| Volume | 28 |
| Issue number | 3 |
| State | Published - Jul 1996 |
| Externally published | Yes |
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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 journal › Article
}
TY - JOUR
T1 - A comparison of three exploratory methods for cluster detection in spatial point patterns
AU - Fotheringham, Stewart
AU - Zhan, F. Benjamin
PY - 1996/7
Y1 - 1996/7
N2 - 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.
AB - 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.
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M3 - Article
AN - SCOPUS:0030432710
VL - 28
SP - 200
EP - 218
JO - Geographical Analysis
JF - Geographical Analysis
SN - 0016-7363
IS - 3
ER -