Multiple Source Spatial Cluster Detection Through Multi-criteria Analysis
نویسندگان
چکیده
Introduction Multiple data sources are essential to provide reliable information regarding the emergence of potential health threats, compared to single source methods [1,2]. Spatial Scan Statistics have been adapted to analyze multivariate data sources [1]. In this context, only ad hoc procedures have been devised to address the problem of selecting the most likely cluster and computing its significance. A multi-objective scan was proposed to detect clusters for a single data source [3].
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عنوان ژورنال:
دوره 5 شماره
صفحات -
تاریخ انتشار 2013