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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
192 Spatial Point Patterns: Methodology and Applications with R
maximum likelihood estimator is the Allard-Fraley [11] cluster set. The Dirichlet tessellation in-
duced by the point pattern is computed; the k sm allest tiles (ranked by tile area) are identified, where
k is determined b y maximising a likelihood criterion analogou s to the likelihood ratio test statistic
described a bove; the union of th ese k smallest tiles is the cluster set.
Figure 6.3 0. Artificial example o f high-intensity region . Left: simulated data from Poisson process
with intensity 100 inside the letter R, and intensity 20 outside. Right: Nonparametric (Allard-Fraley)
estimate ...
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Publisher Resources

ISBN: 9781482210217