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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
Cluster a nd Cox Models 469
> mu <- as.im(function(x,y){ exp(2 * x + 1) }, owin())
> X <- rMatClust(10, 0.05, mu)
The result is sh own in Figure 12.19.
Figure 12.19. Example of a simulated inhomogeneous Matérn cluster process with reference inten-
sity
µ
(x,y) = exp(2x + 1 ) in the unit square.
The function rNeymanScott can simulate a general Neyman-Scott process. The parents are
Poisson with inten sity kappa, where kappa is given as a numeric value, a function, or a pixel im-
age. The cluster mechanism is specified by th e a rgument rcluster which can be either a function
that generates ran dom point patterns, or a list(mu, f) where mu is the mean number ...
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Publisher Resources

ISBN: 9781482210217