R: Simulates Strauss Spatial Point Process

Strauss {spatial} | R Documentation

## Simulates Strauss Spatial Point Process

### Description

Simulates Strauss spatial point process.

### Usage

    Strauss(n, c=0, r)

### Arguments

`n` | number of points
`c` | parameter `c` in [0, 1]. `c = 0` corresponds to complete inhibition at distances up to `r`.
`r` | inhibition distance

### Details

Uses spatial birth-and-death process for 4`n` steps, or for 40`n` steps starting from a binomial pattern on the first call from an other function. Uses the region set by `ppinit` or `ppregion`.

### Value

list of vectors of x and y coordinates

### Side Effects

uses the random number generator

### 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`, `SSI`

### Examples

    towns <- ppinit("towns.dat")
    par(pty="s")
    plot(Kfn(towns, 10), type="b", xlab="distance", ylab="L(t)")
    lines(Kaver(10, 25, Strauss(69,0.5,3.5)))

[Package spatial version 7.3-3 Index]