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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
Point Patterns on a Linear Network 739
0 200 400 600 800 1000
0 5000 10000 15000
r (mm)
K
net
(
r
)
Figure 17.18. Okabe-Yamada network K-fun c tion for the spider web data (solid black lines) and
the sample mean (dashed lines) and pointwise envelopes (boundary of shaded region) of the same
function for 39 simulations of a homogeneous Poisson process on the sa m e network.
On a lin e ar network, we will need to make analogous assumptions in order to define the K-
function. Unfortunately the concept of a (fully) stationary point pr ocess is meaningless on a linear
network, because the network itself is not homogeneous: different locations in the network are ...
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Publisher Resources

ISBN: 9781482210217