Kaver: Average K-functions from Simulations

In spatial: Functions for Kriging and Point Pattern Analysis

Average K-functions from Simulations

Description

Forms the average of a series of (usually simulated) K-functions.

Usage

Kaver(fs, nsim, ...)

Arguments

fs	full scale for K-fn
nsim	number of simulations
...	arguments to simulate one point process object

Value

list with components x and y of the average K-fn on L-scale.

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

Kfn, Kenvl

Examples

towns <- ppinit("towns.dat")
par(pty="s")
plot(Kfn(towns, 40), type="b")
plot(Kfn(towns, 10), type="b", xlab="distance", ylab="L(t)")
for(i in 1:10) lines(Kfn(Psim(69), 10))
lims <- Kenvl(10,100,Psim(69))
lines(lims$x,lims$lower, lty=2, col="green")
lines(lims$x,lims$upper, lty=2, col="green")
lines(Kaver(10,25,Strauss(69,0.5,3.5)),  col="red")

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