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Spatial Point Patterns
book

Spatial Point Patterns

by Adrian Baddeley, Ege Rubak, Rolf Turner
November 2015
Intermediate to advanced content levelIntermediate to advanced
828 pages
33h 11m
English
Chapman and Hall/CRC
Content preview from Spatial Point Patterns
696 Spatial Point Patterns: Methodology and Applications with R
Random effects:
(Intercept)
1 3.81e-08
2 -1.03e-07
3 6.46e-08
Random effects summary:
Random effects:
Formula:
~
1 | id
(Intercept) Residual
StdDev: 0.000214 1
Variance function:
Structure: fixed weights
Formula:
~
invwt
Interaction for all patterns: Poisson process
Each point pattern is modelled as a stationary Poisson process, but the intensity is assumed to
take differ ent values in different point patterns. Hence, this is technically a Cox process mo del (a
mixed Poisson process) rather than a Poisson proc ess. The log intensity is assumed to be normally
distributed, but this is not strictly a log-Gaussian Cox pr ocess, rather it is a degenerate case where
the driving intensity is a random con
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Publisher Resources

ISBN: 9781482210217