Decomposition of variance for spatial Cox processes

Abdollah Jalilian, Yongtao Guan, Rasmus Waagepetersen

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27 Citationer (Scopus)

Abstrakt

Spatial Cox point processes is a natural framework for quantifying the various
sources of variation governing the spatial distribution of rain forest trees. We introduce a general criterion for variance decomposition for spatial Cox processes and apply it to specific Cox process models with additive or log linear random intensity functions. We moreover consider a new and flexible class of pair correlation function models given in terms of normal variance mixture covariance functions. The proposed methodology is applied to point pattern data sets of locations of tropical rain forest trees.
OriginalsprogEngelsk
TidsskriftScandinavian Journal of Statistics
Vol/bind40
Udgave nummer1
Sider (fra-til)119-137
Antal sider19
ISSN0303-6898
DOI
StatusUdgivet - mar. 2013

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