Spatial scan statistics using elliptic windows

Lasse Engbo Christiansen, Jens Strodl Andersen, Henrik Caspar Wegener, Henrik Madsen

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    The spatial scan statistic is widely used to search for clusters. This article shows that the usually applied elimination of secondary clusters as implemented in SatScan is sensitive to smooth changes in the shape of the clusters. We present an algorithm for generation of a set of confocal elliptic windows and propose a new way to present the information when a spatial point process is considered. This method gives smooth changes for smooth expansions of the set of clusters. A simulation study is used to show how the elliptic windows outperforms the usual circular windows. The proposed method for graphical representation of the information in a set of clusters contain more information than just presenting nonoverlapping clusters. We suggest that more than one graphical representation of a set of clusters should be used to easily extract more information and to avoid pitfalls of the selected method.
    Original languageEnglish
    JournalJournal of Agricultural Biological & Environmental Statistics
    Volume11
    Issue number4
    Pages (from-to)411-424
    ISSN1085-7117
    DOIs
    Publication statusPublished - 2006

    Keywords

    • Broilers
    • Campylobacter
    • Likelihood ratio
    • Monte Carlo
    • Overlapping clusters
    • SaTScan

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