rpoislpp
Poisson Point Process on a Linear Network
Generates a realisation of the Poisson point process with specified intensity on the given linear network.
Usage
rpoislpp(lambda, L, …, nsim=1, drop=TRUE)Arguments
- lambda
Intensity of the Poisson process. A single number, a
function(x,y), a pixel image (object of class"im"), or a vector of numbers, a list of functions, or a list of images.- L
A linear network (object of class
"linnet", seelinnet). Can be omitted in some cases: see Details.- …
Arguments passed to
rpoisppOnLines.- nsim
Number of simulated realisations to generate.
- drop
Logical value indicating what to do when
nsim=1. Ifdrop=TRUE(the default), the result is a point pattern. Ifdrop=FALSE, the result is a list with one entry which is a point pattern.
Details
This function uses rpoisppOnLines
to generate the random points.
Argument L can be omitted, and defaults to as.linnet(lambda),
when lambda is a function on a linear network (class
"linfun") or a pixel image on a linear network ("linim").
Value
If nsim = 1 and drop=TRUE,
a point pattern on the linear network,
i.e.\ an object of class "lpp".
Otherwise, a list of such point patterns.
See Also
Examples
# NOT RUN {
X <- rpoislpp(5, simplenet)
plot(X)
# multitype
X <- rpoislpp(c(a=5, b=5), simplenet)
# }