Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/3612
Title: Voronoi distance based prospective space-time scans for point data sets : a dengue fever cluster analysis in a southeast Brazilian town.
Authors: Duczmal, Luiz Henrique
Moreira, Gladston Juliano Prates
Duczmal, Denise Bulgarelli
Takahashi, Ricardo Hiroshi Caldeira
Magalhães, Flávia Costa Oliveira
Bodevan, Emerson Cotta
Issue Date: 2011
Citation: DUCZMAL, L. H. et al. Voronoi distance based prospective space-time scans for point data sets : a dengue fever cluster analysis in a southeast Brazilian town. International Journal of Health Geographics. v. 10, p. 29, 2011. Disponível em: <http://www.ij-healthgeographics.com/content/10/1/29>. Acesso em: 28 ago. 2014.
Abstract: 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.
metadata.dc.description.abstracten: https://doi.org/10.1186/1476-072X-10-29
URI: http://www.repositorio.ufop.br/handle/123456789/3612
ISSN: 1476-072X
metadata.dc.rights.license: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Fonte: International Journal of Health Geographics <http://www.ij-healthgeographics.com/content/10/1/29>. Acesso em: 28 ago. 2014.
Appears in Collections:DEMAT - Artigos publicados em periódicos

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