Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/jspui/handle/123456789/5066
Title: Surveillance to detect emerging space time clusters.
Authors: Assunção, Renato Martins
Correa, Thais Rotsen
Issue Date: 2009
Citation: ASSUNÇÃO, R. M.; CORREA, T. R. Surveillance to detect emerging space time clusters. Computational Statistics & Data Analysis, v. 58, p. 2817-2830, 2009. Disponível em: <http://www.sciencedirect.com/science/article/pii/S0167947308004921>. Acesso em: 13 abr. 2015.
Abstract: The interest is on monitoring incoming space time events to detect an emergent space time cluster as early as possible. Assume that point process events are continuously recorded in space and time. In a certain unknown moment, a small localized cluster of increased intensity starts to emerge. Its location is also unknown. The aim is to let an alarm to go off as soon as possible after its emergence, but avoiding that it goes off unnecessarily. The alarm system should also provide an estimate of the cluster location. In addition to that, the alarm system should take into account the purely spatial and the purely temporal heterogeneity, which are not specified by the user. A space time surveillance system with these characteristics using a martingale approach to derive the surveillance system properties is proposed. The average run length for the situation when there are clusters present in the data is appropriately defined and the method is illustrated in practice. The algorithm is implemented in a freely available stand-alone software and it is also a feature in a freely available GIS system.
URI: http://www.repositorio.ufop.br/handle/123456789/5066
metadata.dc.identifier.doi: https://doi.org/10.1016/j.csda.2008.10.032
ISSN: 0167-9473
metadata.dc.rights.license: O periódico Computational Statistics & Data Analysis concede permissão para depósito do artigo no Repositório Institucional da UFOP. Número da licença: 3603170007000.
Appears in Collections:DEEST - Artigos publicados em periódicos

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