Learn R Programming

spatstat.geom (version 3.3-3)

crossdist.ppp: Pairwise distances between two different point patterns

Description

Computes the distances between pairs of points taken from two different point patterns.

Usage

# S3 method for ppp
crossdist(X, Y, ...,
                periodic=FALSE, method="C", squared=FALSE,
                metric=NULL)

Value

A matrix whose [i,j] entry is the distance from the i-th point in X

to the j-th point in Y.

Arguments

X,Y

Point patterns (objects of class "ppp").

...

Ignored.

periodic

Logical. Specifies whether to apply a periodic edge correction.

method

String specifying which method of calculation to use. Values are "C" and "interpreted".

squared

Logical. If squared=TRUE, the squared distances are returned instead (this computation is faster).

metric

Optional. A distance metric (object of class "metric", see metric.object) which will be used to compute the distances.

Author

Pavel Grabarnik pavel.grabar@issp.serpukhov.su and Adrian Baddeley Adrian.Baddeley@curtin.edu.au.

Details

Given two point patterns, this function computes the Euclidean distance from each point in the first pattern to each point in the second pattern, and returns a matrix containing these distances.

This is a method for the generic function crossdist for point patterns (objects of class "ppp").

This function expects two point patterns X and Y, and returns the matrix whose [i,j] entry is the distance from X[i] to Y[j].

Alternatively if periodic=TRUE, then provided the windows containing X and Y are identical and are rectangular, then the distances will be computed in the `periodic' sense (also known as `torus' distance): opposite edges of the rectangle are regarded as equivalent. This is meaningless if the window is not a rectangle.

The argument method is not normally used. It is retained only for checking the validity of the software. If method = "interpreted" then the distances are computed using interpreted R code only. If method="C" (the default) then C code is used. The C code is faster by a factor of 4.

See Also

crossdist, crossdist.default, crossdist.psp, pairdist, nndist, Gest

Examples

Run this code
   Y <- runifrect(6, Window(cells))
   d <- crossdist(cells, Y)
   d <- crossdist(cells, Y, periodic=TRUE)

Run the code above in your browser using DataLab