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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
Patterns of Several Types of Points 591
where I
θ
is the Fisher information matrix and
P(u,m) = p(m | u)
h
Z(u,m)
m
Z(u,m
)p(m
| u)
i
R(u,m) = r(m | u)[Z(u,m) Z(u,m
0
)].
These calculations are performed by relrisk.ppm, the method for the generic relrisk for fitted
Poisson or Gibbs point process models. For example, for the gastric m ucosa data (Figure 14 .1 on
page 561), we might consider the model
> fit <- ppm(mucosa
~
marks * polynom(x,y,3))
Then the sp a tially varying probabilities of each type are computed by
> probs <- relrisk(fit, casecontrol=FALSE)
Figure 14.15 shows the estimated proportion of ECL cells. The spatially varying relative ‘risk’ of
ECL ...
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Publisher Resources

ISBN: 9781482210217