Geovisual analytics to enhance spatial scan statistic interpretation: an analysis of U.S. cervical cancer mortality

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Geovisual analytics to enhance spatial scan statistic interpretation: an analysis of U.S. cervical cancer mortality

BACKGROUND Kulldorff's spatial scan statistic and its software implementation - SaTScan - are widely used for detecting and evaluating geographic clusters. However, two issues make using the method and interpreting its results non-trivial: (1) the method lacks cartographic support for understanding the clusters in geographic context and (2) results from the method are sensitive to parameter cho...

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Kulldorff’s scan statistic[1] is a spatial scan statistics method for detecting and evaluating statistically-significant, spatial clusters (e.g. disease, crime, etc). The method and its software implementation – SaTScan – is used widely in an increasing number of applications including epidemiology and other research fields. Here, we abbreviate the method as SaTScan method. Many researchers hav...

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We propose a new Bayesian method for spatial cluster detection, the “Bayesian spatial scan statistic,” and compare this method to the standard (frequentist) scan statistic approach. We demonstrate that the Bayesian statistic has several advantages over the frequentist approach, including increased power to detect clusters and (since randomization testing is unnecessary) much faster runtime. We ...

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The discovery of anomalous regions within spatially oriented data can provide valuable insights to the study of disease prevention, crime, and socioeconomic inequality. Spatial scan statistic methods are a common tool used within these fields to discover areas of a data set that have significant variation when compared to the background distribution. However, the effects of data representation ...

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ژورنال

عنوان ژورنال: International Journal of Health Geographics

سال: 2008

ISSN: 1476-072X

DOI: 10.1186/1476-072x-7-57