Displaying results 1 - 2 of 2
-
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… between centroids of the regions in a map to assemble a con- nected (in the sense that two connected regions share a … study of events like contagious diseases or homicides we con- sider using the flow of people between two regions in … between centroids of the regions in a map to assemble a con- nected (in the sense that two connected regions share a … -
Exploring Multi-Cluster Structures with the Multi-Objective Circular Scan
Content Type: Abstract
The spatial scan statistic is the usual measure of strength of a cluster [1]. Another important measure is its geometric regularity [2]. A genetic multiobjective algorithm was developed elsewhere to identify irregularly shaped clusters [3]. A search… read more… shaped clusters. We define the circular occupation (CO) of a cluster candidate roughly as its population divided … population inside the smallest circle containing it. The CO concept, computationally faster and relying on familiar … [1] Kulldorff M, 1997. A Spatial Scan Statistic, Comm. Statist. Theory Meth., 26(6), 1481-1496. [2] Duczmal …