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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
Correlation 229
The function pcf is generic, with a method for point patterns. By default, pcf.ppp uses the esti-
mator (7.26), with the Epanechnikov kernel, with bandwidth h selecte d by Stoyan’s rule of thumb
(7.29) with c = 0.15 so that c
= 0.067.
In analysing a po int pattern dataset, attention is often fo cused on the behaviour of g (r) for small
r, which reflects th e correlation between close pairs of points. Unfortunately, estimation of g(r)
at small distances is intrinsically difficult, because geometry dictates that there will typ ically be
few observations at small distances. The estimator (7.26) h as poor performance at small distances.
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Publisher Resources

ISBN: 9781482210217