Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/jspui/handle/123456789/3612
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDuczmal, Luiz Henrique-
dc.contributor.authorMoreira, Gladston Juliano Prates-
dc.contributor.authorDuczmal, Denise Bulgarelli-
dc.contributor.authorTakahashi, Ricardo Hiroshi Caldeira-
dc.contributor.authorMagalhães, Flávia Costa Oliveira-
dc.contributor.authorBodevan, Emerson Cotta-
dc.date.accessioned2014-08-29T16:33:57Z-
dc.date.available2014-08-29T16:33:57Z-
dc.date.issued2011-
dc.identifier.citationDUCZMAL, 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.pt_BR
dc.identifier.issn1476-072X-
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/3612-
dc.description.abstractThe 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.pt_BR
dc.language.isoen_USpt_BR
dc.titleVoronoi distance based prospective space-time scans for point data sets : a dengue fever cluster analysis in a southeast Brazilian town.pt_BR
dc.typeArtigo publicado em periodicopt_BR
dc.rights.licenseThis 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.pt_BR
dc.description.abstractenhttps://doi.org/10.1186/1476-072X-10-29-
Appears in Collections:DEMAT - Artigos publicados em periódicos

Files in This Item:
File Description SizeFormat 
ARTIGO_VoronoiDistanceBased.pdf636,68 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.