Displaying results 1 - 5 of 5
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Using the Flow of People in Cluster Detection and Inference
Content Type: Abstract
The traditional SaTScan algorithm[1],[2] uses the euclidean dis- tance between centroids of the regions in a map to assemble a con- nected (in the sense that two connected regions share a physical border) sets of regions. According to the value of… read more -
Mapping the uncertainty of non-contagious disease clusters boundaries in Brazil
Content Type: Abstract
The intrinsic variability that exists in the cases counting data for aggregated-area maps amounts to a corresponding uncertainty in the delineation of the most likely cluster found by methods based on the spatial scan statistics [3]. If this cluster… read more -
Optimizing Simultaneously the Geometry and the Internal Cohesion of Clusters
Content Type: Abstract
Irregularly shaped cluster finders frequently end up with a solution consisting of a large zone z spreading through the map, which is merely a collection of the highest valued regions, but not a geographically sound cluster. One way… read more -
Geographically Meaningful Cluster Scanning Through Weak Link Correction
Content Type: Abstract
Many heuristics were developed recently to find arbitrarily shaped clusters (see review [1]). The most popular statistic is the spatial scan [2]. Nevertheless, even if all cluster solutions could be known, the problem of… read more -
Weighted non-connectivity for detection of irregular clusters
Content Type: Abstract
Heuristics to detect irregularly shaped spatial clusters were reviewed recently. The spatial scan statistic is a widely used measure of the strength of clusters. However, other measures may also be useful, such as the geometric compactness… read more