rGaussPoisson {spatstat} | R Documentation |
Generate a random point pattern, a simulated realisation of the Gauss-Poisson Process.
rGaussPoisson(kappa, r, p2, win = owin(c(0,1),c(0,1)))
kappa |
Intensity of the Poisson process of cluster centres. A single positive number, a function, or a pixel image. |
r |
Diameter of each cluster that consists of exactly 2 points. |
p2 |
Probability that a cluster contains exactly 2 points. |
win |
Window in which to simulate the pattern.
An object of class |
This algorithm generates a realisation of the Gauss-Poisson
point process inside the window win
.
The process is constructed by first
generating a Poisson point process of parent points
with intensity kappa
. Then each parent point is either retained
(with probability 1 - p2
)
or replaced by a pair of points at a fixed distance r
apart
(with probability p2
). In the case of clusters of 2 points,
the line joining the two points has uniform random orientation.
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.
The simulated point pattern (an object of class "ppp"
).
Additionally, some intermediate results of the simulation are
returned as attributes of this point pattern.
See rNeymanScott
.
Adrian Baddeley Adrian.Baddeley@csiro.au http://www.maths.uwa.edu.au/~adrian/ and Rolf Turner r.turner@auckland.ac.nz
rpoispp
,
rThomas
,
rMatClust
,
rNeymanScott
pp <- rGaussPoisson(30, 0.07, 0.5)