spatial (version 7.3-12)

Kfn: 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)

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

Details

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

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

# NOT RUN {
towns <- ppinit("towns.dat")
par(pty="s")
plot(Kfn(towns, 10), type="s", xlab="distance", ylab="L(t)")
# }