Hybrids of Gibbs Point Process Models and Their Implementation
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Altres documents de l'autoria: Baddeley, Adrian; Turner, Rolf; Mateu, Jorge; Bevan, Andrew
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Hybrids of Gibbs Point Process Models and Their ImplementationData de publicació
2013Editor
Foundation for Open Access StatisticsISSN
1548-7660Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://www.jstatsoft.org/article/view/v055i11Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
We describe a simple way to construct new statistical models for spatial point pattern
data. Taking two or more existing models (finite Gibbs spatial point processes) we
multiply the probability densities together ... [+]
We describe a simple way to construct new statistical models for spatial point pattern
data. Taking two or more existing models (finite Gibbs spatial point processes) we
multiply the probability densities together and renormalise to obtain a new probability
density. We call the resulting model a hybrid. We discuss stochastic properties of
hybrids, their statistical implications, statistical inference, computational strategies and
software implementation in the R package spatstat. Hybrids are particularly useful for
constructing models which exhibit interaction at different spatial scales. The methods
are demonstrated on a real data set on human social interaction. Software and data are
provided. [-]
Publicat a
Journal of Statistical Software, November 2013, Volume 55, Issue 11.Drets d'accés
info:eu-repo/semantics/openAccess
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