Displaying results 1 - 5 of 5
-
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… traditional SaTScan algorithm[1],[2] uses the euclidean dis- tance between centroids of the regions in a map to … regions formed according to the cri- terion of proximity due to the flow of people, the regions will be not … traditional SaTScan algorithm[1],[2] uses the euclidean dis- tance between centroids of the regions in a map to … -
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… statistic is the spatial scan [2]. Nevertheless, even if all cluster solutions could be known, the problem … solution presented is a Pareto-set, consisting of all the clusters found which are not simultaneously worse in … The significance evaluation is conducted in parallel for all the clusters in the Pareto-set through a … -
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… J. Ferreira, André L.F. Cançado Universidade Federal de Minas Gerais OBJECTIVE We introduce a novel spatial scan … The solution presented is a Pareto-set, consisting of all the clusters found which are not si- multaneously worse … A Spatial Scan Statistic, Comm. Statist. Theory Meth., 26(6), 1481-1496. Corresponding author: duczmal@ufmg.br … -
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… simply discard them in a disease prevention program? Do all the areas inside the detected cluster have the same … simply discard them in a disease prevention program? Do all the areas inside the detected cluster have the same … A spatial scan statistic. Commun Statist Theor Meth. 1997;26:1481�96. *Sabino Ferreira E-mail: sabino@est.ufmg.br … -
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… algorithm. The solution is a Pareto set, consisting of all clusters that are not worse on both objectives simulta- … The statistical significance evaluation is performed for all clusters in the Pareto set through Monte Carlo … A spatial scan statistic. Comm Statist Theory Meth 1997;26:1481–96. 3 Duczmal L, Canc-ado ALF, Takahashi RHC. …

