Second-order analysis of anisotropic spatiotemporal point process data
Impacto
Scholar |
Otros documentos de la autoría: Comas Rodríguez, Carlos; Rodríguez-Cortés, Francisco Javier; Mateu, Jorge
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7037
comunitat-uji-handle3:10234/8635
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http://dx.doi.org/10.1111/stan.12046 |
Metadatos
Título
Second-order analysis of anisotropic spatiotemporal point process dataFecha de publicación
2015-02Editor
WileyCita bibliográfica
COMAS, C.; RODRIGUEZ‐CORTES, F. J.; MATEU, J. Second‐order analysis of anisotropic spatiotemporal point process data. Statistica Neerlandica, 2015, vol. 69, no 1, p. 49-66.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://onlinelibrary.wiley.com/doi/10.1111/stan.12046/fullVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Second-order orientation methods provide a natural tool for the analysis of spatial point process data. In this paper, we extend to the spatiotemporal setting the spatial point pair orientation distribution function. ... [+]
Second-order orientation methods provide a natural tool for the analysis of spatial point process data. In this paper, we extend to the spatiotemporal setting the spatial point pair orientation distribution function. The new space–time orientation distribution function is used to detect space–time anisotropic configurations. An edge-corrected estimator is defined and illustrated through a simulation study. We apply the resulting estimator to data on the spatiotemporal distribution of fire ignition events caused by humans in a square area of 30 × 30 km2 for 4 years. Our results confirm that our approach is able to detect directional components at distinct spatiotemporal scales. [-]
Publicado en
Statistica Neerlandica Volume 69, Issue 1, February 2015Derechos de acceso
©2014 The Authors. Statistica Neerlandica © 2014 VVS.
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