Voronoi distance based prospective space-time scans for point data sets : a dengue fever cluster analysis in a southeast Brazilian town.

• Autor(a) principal: Duczmal, Luiz Henrique
• Data de Publicação: 2011
• Outros Autores: Moreira, Gladston Juliano Prates, Duczmal, Denise Bulgarelli, Takahashi, Ricardo Hiroshi Caldeira, Magalhães, Flávia Costa Oliveira, Bodevan, Emerson Cotta
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFOP
• Texto Completo: http://www.repositorio.ufop.br/handle/123456789/3612

The Prospective Space-Time scan statistic (PST) is widely used for the evaluation of space-time clusters of point event data. Usually a window of cylindrical shape is employed, with a circular or elliptical base in the space domain. Recently, the concept of Minimum Spanning Tree (MST) was applied to specify the set of potential clusters, through the Density-Equalizing Euclidean MST (DEEMST) method, for the detection of arbitrarily shaped clusters. The original map is cartogram transformed, such that the control points are spread uniformly. That method is quite effective, but the cartogram construction is computationally expensive and complicated.