Simple Recursive Approach for Detecting Spatial Clusters
نویسندگان
چکیده
منابع مشابه
Detecting Significant Multidimensional Spatial Clusters
Assume a uniform, multidimensional grid of bivariate data, where each cell of the grid has a count ci and a baseline bi. Our goal is to find spatial regions (d-dimensional rectangles) where the ci are significantly higher than expected given bi. We focus on two applications: detection of clusters of disease cases from epidemiological data (emergency department visits, over-the-counter drug sale...
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BACKGROUND The spatial scan statistic proposed by Kulldorff has been applied to a wide variety of epidemiological studies for cluster detection. This scan statistic, however, uses a circular window to define the potential cluster areas and thus has difficulty in correctly detecting actual noncircular clusters. A recent proposal by Duczmal and Assunção for detecting noncircular clusters is shown...
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BACKGROUND There are many applications for spatial cluster detection and more detection methods have been proposed in recent years. Most cluster detection methods are efficient in detecting circular (or circular-like) clusters, but the methods which can detect irregular-shaped clusters usually require a lot of computing time. METHODS We propose a new spatial detection algorithm for lattice da...
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ژورنال
عنوان ژورنال: Communications for Statistical Applications and Methods
سال: 2005
ISSN: 2287-7843
DOI: 10.5351/ckss.2005.12.1.207