SSI: Simulates Sequential Spatial Inhibition Point Process

In spatial: Functions for Kriging and Point Pattern Analysis

Simulates Sequential Spatial Inhibition Point Process

Description

Simulates SSI (sequential spatial inhibition) point process.

Usage

SSI(n, r)

Arguments

n	number of points
r	inhibition distance

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)))

spatial documentation built on July 26, 2023, 5:33 p.m.