Hybrids of Gibbs Point Process Models and Their Implementation
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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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INVESTIGACIONMetadata
Title
Hybrids of Gibbs Point Process Models and Their ImplementationDate
2013Publisher
Foundation for Open Access StatisticsISSN
1548-7660Type
info:eu-repo/semantics/articlePublisher version
https://www.jstatsoft.org/article/view/v055i11Version
info:eu-repo/semantics/publishedVersionSubject
Abstract
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. [-]
Is part of
Journal of Statistical Software, November 2013, Volume 55, Issue 11.Rights
info:eu-repo/semantics/openAccess
This item appears in the folowing collection(s)
- MAT_Articles [766]
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