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
364 Spatial Point Patterns: Methodology and Applications with R
The arguments xincin,yincin are the coord inates of the incinerator. By specifying default values
for them, we do not have to handle these values again. Next we define the raised incidence term
b
θ
(u):
> raisin <- function(x,y, alpha, beta) {
1 + alpha * exp( - beta * d2incin(x,y))
}
We the n fit the model using ippm (this can be slow):
> chorleyDfit <- ippm(Q
~
offset(log(smo) + log(raisin)),
start=list(alpha=5, beta=1))
The argument start lists the irregular parameters over which the likelihood is to be maximised,
and gives their starting values for the iterative algorithm. The parameter names ...
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