spatial: Kfn – R documentation

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Kfn

Compute K-fn of a Point Pattern

Actually computes L = sqrt(K/pi).

Kfn(pp, fs, k=100)

`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`)

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

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

Ripley, B. D. (1981) Spatial Statistics. Wiley.

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

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

Functions for Kriging and Point Pattern Analysis

v7.3-14

GPL-2 | GPL-3

Authors

Brian Ripley [aut, cre, cph], Roger Bivand [ctb], William Venables [cph]

Initial release

2021-04-17