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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
Higher-Dimensional Spaces and Marks 647
The default for the test function f is the same as for markcorr, described above. The result of
Kmark is an "fv" objec t, or a list of "fv" o bjects if X has a data frame of marks. The addition al
argument returnL=TRUE can be used as a shortcut to compute L
f
(r) instead of K
f
(r).
> smki <- Kmark(spruces, returnL=TRUE)
> smke <- envelope(spruces, Kmark, returnL=TRUE,
simulate=expression(rlabel(spruces)),
nsim=1999, nrank=50, savefuns=TRUE)
Figure 15.9 shows the estimate of L
f
(r) and the pointwise 5% significance envelopes based o n 1 999
simulations of random labelling. The apparent deviation should be investigated ...
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Publisher Resources

ISBN: 9781482210217