Journal Article10.1016/S1353-8292(02)00060-6
Visualization of the spatial scan statistic using nested circles.
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TL;DR: 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 is proposed and applied to prostate cancer mortality data in counties within the contiguous United States during the period 1970-1994.
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About: This article is published in Health & Place. The article was published on 01 Sep 2003. The article focuses on the topics: Scan statistic & Choropleth map.
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Citations
Geovisual analytics to enhance spatial scan statistic interpretation: an analysis of U.S. cervical cancer mortality
TL;DR: The geovisual analytics approach described in this manuscript facilitates the interpretation of spatial cluster detection methods by providing cartographic representation of SaTScan results and by providing visualization methods and tools that support selection ofSaTScan parameters.
Nonparametric intensity bounds for the delineation of spatial clusters
Fernando Luiz Pereira de Oliveira,Luiz Henrique Duczmal,André Luiz Fernandes Cançado,Ricardo Tavares +3 more
TL;DR: A method to measure the plausibility of each area being part of a possible localized anomaly in the map of rates and find intensity bounds for the delineation of spatial clusters in maps of areas with known populations and observed number of cases is proposed.
Nonparametric intensity bounds for the delineation of spatial clusters
F. L. Oliveira,Luiz Henrique Duczmal,André L. F. Cançado,Ricardo Tavares +3 more
TL;DR: A method to measure the plausibility of each area being part of a possible localized anomaly in the map of rates, able to delineate irregularly shaped and multiple clusters, making use of simple tools like the circular scan.
UV, latitude, and spatial trends in prostate cancer mortality: All sunlight is not the same (United States)
Gary G. Schwartz,Carol Hanchette +1 more
TL;DR: The analyses confirm and extend the findings that the geographic distribution of prostate cancer mortality is the inverse of that of UV radiation, and add additional support for the hypothesis that vitamin D insufficiency increases risk for prostate cancer.
115
Cancer map patterns: are they random or not?
TL;DR: Evaluating the spatial patterns observed using Tango's MEET, a global clustering test, and the spatial scan statistic, a cluster detection test for spatial randomness in cancer maps is recommended.
99
References
A spatial scan statistic
TL;DR: In this article, a spatial scan statistic for the detection of clusters in a multi-dimensional point process is proposed, where the area of the scanning window is allowed to vary, and the baseline process may be any inhomogeneous Poisson process or Bernoulli process with intensity pro-portional to some known function.
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Breast Cancer Clusters in the Northeast United States: A Geographic Analysis
TL;DR: There is a statistically significant and geographically broad cluster of breast cancer deaths in the New York City-Philadelphia, Pennsylvania, metropolitan area, which has a 7.4% higher mortality rate than the rest of the Northeast.
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