Simulates Sequential Spatial Inhibition Point Process

Description

Simulates SSI (sequential spatial inhibition) point process.

Usage

SSI(n, r)

Arguments

Details

uses the region set by ppinit or ppregion.

Value

list of vectors of x and y coordinates

Side Effects

uses the random number generator.

Warnings

will never return if r is too large and it cannot place n points.

References

Ripley, B. D. (1981) Spatial Statistics. Wiley.

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

See Also

Psim, Strauss

Examples

towns <- ppinit("towns.dat")
par(pty = "s")
plot(Kfn(towns, 10), type = "b", xlab = "distance", ylab = "L(t)")
lines(Kaver(10, 25, SSI(69, 1.2)))