linearKEuclid: Linear K Function Using Euclidean Distance

In spatstat.linnet: Linear Networks Functionality of the 'spatstat' Family

Linear K Function Using Euclidean Distance

Description

Computes an estimate of the linear K function based on Euclidean distances, for a point pattern on a linear network.

Usage

linearKEuclid(X, r = NULL, ...)

Arguments

X	Point pattern on linear network (object of class "lpp").
r	Optional. Numeric vector of values of the function argument r. There is a sensible default.
...	Ignored.

Details

This command computes an estimate of the linear K function based on Euclidean distances between the points, as described by Rakshit, Nair and Baddeley (2017).

This is different from the linear K function based on shortest-path distances, which is computed by linearK.

The linear K function based on Euclidean distances is defined in equation (20) of Rakshit, Nair and Baddeley (2017). The estimate is computed from the point pattern as described in equation (25).

Value

Function value table (object of class "fv").

Author(s)

\adrian

.

References

Rakshit. S., Nair, G. and Baddeley, A. (2017) Second-order analysis of point patterns on a network using any distance metric. Spatial Statistics 22 (1) 129–154.

See Also

linearpcfEuclid, linearKEuclidInhom.

See linearK for the corresponding function based on shortest-path distances.

Examples

  X <- rpoislpp(5, simplenet)
  K <- linearKEuclid(X)

spatstat.linnet documentation built on Sept. 20, 2024, 5:06 p.m.