Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/9384
Title: An item response theory approach to spatial cluster estimation and visualization.
Authors: Cançado, André Luiz Fernandes
Gomes, Antonio E.
Silva, Cibele Queiroz da
Oliveira, Fernando Luiz Pereira de
Duczmal, Luiz Henrique
Keywords: Inhomogeneous poisson process
Item response theory
Irregularly shaped spatial clusters
Scan statistic
Issue Date: 2016
Citation: CANÇADO, A. L. F. et al. An item response theory approach to spatial cluster estimation and visualization. Environmental and Ecological Statistics, v. 23, p. 1-17, 2016. Disponível em: <https://link.springer.com/article/10.1007/s10651-016-0347-x>. Acesso em: 16 jan. 2018.
Abstract: The scan statistic is widely used in spatial cluster detection applications of inhomogeneous Poisson processes. The most popular variant of the spatial scan is the circular scan. However, such approach has several limitations, in particular, the circular window is not suitable to make the correct description of irregularly shaped and/or unconnected clusters. Additionally, such methodology does not incorporate the tools needed for quantifying the uncertainty in the description of the most likely cluster in the analysis. In the present work we build upon the previously proposed methodology called intensity function a more efficient and accurate way of defining the uncertainty in the identification of spatial clusters using Item Response Theory ideas. Using simulated data we show that the proposed method can correctly identify primary, secondary and irregular clusters.
URI: http://www.repositorio.ufop.br/handle/123456789/9384
metadata.dc.identifier.uri2: https://link.springer.com/article/10.1007/s10651-016-0347-x
ISSN:  15733009 
Appears in Collections:DEEST - Artigos publicados em periódicos

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