rMatClust
From spatstat v1.6-5
by Adrian Baddeley
Simulate Matern Cluster Process
Generate a random point pattern using the Mat'ern Cluster Process.
- Keywords
- spatial
Usage
rMatClust(lambda, r, mu, win = owin(c(0,1),c(0,1)))
Arguments
- lambda
- Intensity of the Poisson process of cluster centres. A single positive number, a function, or a pixel image.
- r
- Radius parameter of the clusters.
- mu
- Mean number of points per cluster.
- win
- Window in which to simulate the pattern.
An object of class
"owin"
or something acceptable toas.owin
.
Details
This algorithm generates a realisation of Mat'ern's cluster process
inside the window win
. The process is constructed by first
generating a Poisson point process of ``parent'' points
with intensity lambda
. Then each parent point is
replaced by a random cluster of points, the number of points in each
cluster being random with a Poisson (mu
) distribution,
and the points being placed independently and uniformly inside
a disc of radius r
centred on the parent point.
In this implementation, parent points are not restricted to lie in the window; the parent process is effectively the uniform Poisson process on the infinite plane.
Value
- The simulated point pattern (an object of class
"ppp"
).
See Also
Examples
pp <- rMatClust(10, 0.05, 4)
Community examples
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