Lcross: Multitype L-function (cross-type)

In spatstat.explore: Exploratory Data Analysis for the 'spatstat' Family

Multitype L-function (cross-type)

Description

Calculates an estimate of the cross-type L-function for a multitype point pattern.

Usage

  Lcross(X, i, j, ..., from, to, correction)

Arguments

X	The observed point pattern, from which an estimate of the cross-type L function L_{ij}(r) will be computed. It must be a multitype point pattern (a marked point pattern whose marks are a factor). See under Details.
i	The type (mark value) of the points in X from which distances are measured. A character string (or something that will be converted to a character string). Defaults to the first level of marks(X).
j	The type (mark value) of the points in X to which distances are measured. A character string (or something that will be converted to a character string). Defaults to the second level of marks(X).
correction,...	Arguments passed to Kcross.
from,to	An alternative way to specify i and j respectively.

Details

The cross-type L-function is a transformation of the cross-type K-function,

L_{ij}(r) = \sqrt{\frac{K_{ij}(r)}{\pi}}

where K_{ij}(r) is the cross-type K-function from type i to type j. See Kcross for information about the cross-type K-function.

The command Lcross first calls Kcross to compute the estimate of the cross-type K-function, and then applies the square root transformation.

For a marked point pattern in which the points of type i are independent of the points of type j, the theoretical value of the L-function is L_{ij}(r) = r. The square root also has the effect of stabilising the variance of the estimator, so that L_{ij} is more appropriate for use in simulation envelopes and hypothesis tests.

Value

An object of class "fv", see fv.object, which can be plotted directly using plot.fv.

Essentially a data frame containing columns

r	the vector of values of the argument r at which the function L_{ij} has been estimated
theo	the theoretical value L_{ij}(r) = r for a stationary Poisson process

together with columns named "border", "bord.modif", "iso" and/or "trans", according to the selected edge corrections. These columns contain estimates of the function L_{ij} obtained by the edge corrections named.

Author(s)

\adrian

and \rolf

See Also

Kcross, Ldot, Lest

Examples

 L <- Lcross(amacrine, "off", "on")
 plot(L)

spatstat.explore documentation built on Oct. 23, 2023, 1:07 a.m.