Multiple Spatio-Temporal Cluster Detection for Case Event Data: An Ordering-Based Approach

This article introduces a spatio-temporal distance which allows the extension of the spatial cluster detection methods of Demattei et al. ( 2007 ) and Cucala ( 2009 ). A review of these methods is given before we define a spatio-temporal distance. Then this distance is used for detecting spatio-temp...

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Bibliographic Details
Published in:Communications in statistics. Theory and methods 2011-01, Vol.40 (2), p.358-372
Main Authors: Demattei, C., Cucala, L.
Format: Article
Language:English
Subjects:
Case event data
Cluster detection
Clusters
Exact sciences and technology
General topics
Mathematics
Ordering-based methods
Probability and statistics
Sciences and techniques of general use
Spatio-temporal distance
Statistics
Statistics Theory
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Summary:This article introduces a spatio-temporal distance which allows the extension of the spatial cluster detection methods of Demattei et al. ( 2007 ) and Cucala ( 2009 ). A review of these methods is given before we define a spatio-temporal distance. Then this distance is used for detecting spatio-temporal clusters. These ordering-based methods are compared to the scan statistic by a simulation study. The scan procedure is more powerful but it detects fewer true positives due to its lack of flexibility. Those techniques are applied to a seismic data set. This article highlights two advantages of the ordering-based methods: their flexibility and their low computational demand.
ISSN:0361-0926
1532-415X
DOI:10.1080/03610920903411200