0th

Percentile

##### Simulate Simple Sequential Inhibition

Generate a random point pattern, a realisation of the Simple Sequential Inhibition (SSI) process.

Keywords
spatial, datagen
##### Usage
rSSI(r, n=Inf, win = square(1), giveup = 1000, x.init=NULL, ...,
nsim=1, drop=TRUE)
##### Arguments
r
Inhibition distance.
n
Maximum number of points allowed. If n is finite, stop when the total number of points in the point pattern reaches n. If n is infinite (the default), stop only when it is apparently impossi
win
Window in which to simulate the pattern. An object of class "owin" or something acceptable to as.owin. The default window is the unit square, unless x.init is spec
giveup
Number of rejected proposals after which the algorithm should terminate.
x.init
Optional. Initial configuration of points. A point pattern (object of class "ppp"). The pattern returned by rSSI consists of this pattern together with the points added via simple sequential inhibition. See Detai
...
Ignored.
nsim
Number of simulated realisations to be generated.
drop
Logical. If nsim=1 and drop=TRUE (the default), the result will be a point pattern, rather than a list containing a point pattern.
##### Details

This algorithm generates one or more realisations of the Simple Sequential Inhibition point process inside the window win.

Starting with an empty window (or with the point pattern x.init if specified), the algorithm adds points one-by-one. Each new point is generated uniformly in the window and independently of preceding points. If the new point lies closer than r units from an existing point, then it is rejected and another random point is generated. The algorithm terminates when either [object Object],[object Object] If n is infinite (the default) then the algorithm terminates only when (b) occurs. The result is sometimes called a Random Sequential Packing.

Note that argument n specifies the maximum permitted total number of points in the pattern returned by rSSI(). If x.init is not NULL then the number of points that are added is at most n - npoints(x.init) if n is finite.

Thus if x.init is not NULL then argument n must be at least as large as npoints(x.init), otherwise an error is given. If n==npoints(x.init) then a warning is given and the call to rSSI() has no real effect; x.init is returned.

There is no requirement that the points of x.init be at a distance at least r from each other. All of the added points will be at a distance at least r from each other and from any point of x.init.

The points will be generated inside the window win and the result will be a point pattern in the same window. The default window is the unit square, win = square(1), unless x.init is specified, when the default is win=Window(x.init), the window of x.init.

If both win and x.init are specified, and if the two windows are different, then a warning will be issued. Any points of x.init lying outside win will be removed, with a warning.

##### Value

• A point pattern (an object of class "ppp") if nsim=1, or a list of point patterns if nsim > 1.

rpoispp, rMaternI, rMaternII.

##### Examples
Vinf <- rSSI(0.05)

plot(X,add=TRUE,chars=20,cols="red")