Second-order analysis of anisotropic spatiotemporal point process data
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Other documents of the author: Comas Rodríguez, Carlos; Rodríguez-Cortés, Francisco Javier; Mateu, Jorge
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Show full item recordcomunitat-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 |
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Title
Second-order analysis of anisotropic spatiotemporal point process dataDate
2015-02Publisher
WileyBibliographic citation
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.Type
info:eu-repo/semantics/articlePublisher version
http://onlinelibrary.wiley.com/doi/10.1111/stan.12046/fullVersion
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Abstract
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. [-]
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Statistica Neerlandica Volume 69, Issue 1, February 2015Rights
©2014 The Authors. Statistica Neerlandica © 2014 VVS.
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