MAD-STEC : a method for multiple automatic detection of space-time emerging clusters.
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2016
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Resumo
Crime or disease surveillance commonly rely in
space-time clustering methods to identify emerging patterns.
The goal is to detect spatial-temporal clusters as soon as
possible after its occurrence and to control the rate of false
alarms. With this in mind, a spatio-temporal multiple cluster
detection method was developed as an extension of a
previous proposal based on a spatial version of the Shiryaev–
Roberts statistic. Besides the capability of multiple cluster
detection, the method have less input parameter than the previous
proposal making its use more intuitive to practitioners.
To evaluate the new methodology a simulation study is performed
in several scenarios and enlighten many advantages
of the proposed method. Finally, we present a case study to
a crime data-set in Belo Horizonte, Brazil.
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Palavras-chave
Surveillance, Point pattern, Prospective space-time surveillance, Space-time clustering
Citação
VELOSO, B. M. MAD-STEC: a method for multiple automatic detection of space-time emerging clusters. Statistics and Computing, v. 1, p. 1-12, 2016. Disponível em: <http://link.springer.com/article/10.1007/s11222-016-9673-y>. Acesso em: 23 jan. 2017.