Kfn: Compute K-fn of a Point Pattern

In spatial: Functions for Kriging and Point Pattern Analysis

Compute K-fn of a Point Pattern

Description

Actually computes L = \sqrt{K/\pi}.

Usage

Kfn(pp, fs, k=100)

Arguments

pp	a list such as a pp object, including components x and y
fs	full scale of the plot
k	number of regularly spaced distances in (0, fs)

Details

relies on the domain D having been set by ppinit or ppregion.

Value

A list with components

x	vector of distances
y	vector of L-fn values
k	number of distances returned – may be less than k if fs is too large
dmin	minimum distance between pair of points
lm	maximum deviation from L(t) = t

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

ppinit, ppregion, Kaver, Kenvl

Examples

towns <- ppinit("towns.dat")
par(pty="s")
plot(Kfn(towns, 10), type="s", xlab="distance", ylab="L(t)")

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