Skip to Main Content
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 209
randomly added, combined, disp la ced, or removed. In this regard there a re two important properties
of the K-function.
Firstly the K-function is invariant under random thinning. Suppose X is a stationary point
process, and Y is the point process obtained by ind e pendent ran dom thinning randomly deleting
or retaining each point of X, with a constan t probability p of retaining each p oint (Section 5.3.3).
Then the K-function of Y is ide ntical to th e K-function of X.
Secondly there is the effect of superposition. Suppose X and Y are two independent, stationary
point processes, with intensities
λ
X
,
λ
Y
and K-functio ns K
X
(r),K
Y
(r). Superimposing these two
processes gives a stationary point process with intensity
λ
=
λ
X
+
λ
Y
and K-function ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Visualization Analysis and Design

Visualization Analysis and Design

Tamara Munzner
R in Action, Third Edition

R in Action, Third Edition

Robert I. Kabacoff

Publisher Resources

ISBN: 9781482210217