Visualization of the spatial scan statistic using nested circles

We propose a technique for the display of results of Kulldorff's spatial scan statistic and related cluster detection methods that provides a greater degree of informational content. By simultaneously considering likelihood ratio and relative risk, it is possible to identify focused sub-cluster...

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Bibliographic Details
Published in:Health & place 2003-09, Vol.9 (3), p.273-277
Main Authors: Boscoe, Francis P, McLaughlin, Colleen, Schymura, Maria J, Kielb, Christine L
Format: Article
Language:English
Subjects:
Cluster detection
Health technology assessment
Humans
Male
Prostate cancer
Prostatic Neoplasms - epidemiology
Prostatic Neoplasms - mortality
Risk
Spatial scan statistics
Statistics as Topic - methods
United States - epidemiology
Visualization
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Summary:We propose a technique for the display of results of Kulldorff's spatial scan statistic and related cluster detection methods that provides a greater degree of informational content. By simultaneously considering likelihood ratio and relative risk, it is possible to identify focused sub-clusters of higher (or lower) relative risk among broader regional excesses or deficits. The result is a map with a nested or contoured appearance. Here the technique is applied to prostate cancer mortality data in counties within the contiguous United States during the period 1970–1994. The resulting map shows both broad and localized patterns of excess and deficit, which complements a choropleth map of the same data.
ISSN:1353-8292
1873-2054
DOI:10.1016/S1353-8292(02)00060-6