# crossdist.default

0th

Percentile

##### Pairwise distances between two different sets of points

Computes the distances between each pair of points taken from two different sets of points.

Keywords
spatial, math
##### Usage
## S3 method for class 'default':
crossdist(X, Y, x2, y2, \dots, period=NULL, method="C")
##### Arguments
X,Y
Numeric vectors of equal length specifying the coordinates of the first set of points.
x2,y2
Numeric vectors of equal length specifying the coordinates of the second set of points.
...
Ignored.
period
Optional. Dimensions for periodic edge correction.
method
String specifying which method of calculation to use. Values are "C" and "interpreted".
##### Details

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

This is a method for the generic function crossdist.

This function expects X and Y to be numeric vectors of equal length specifying the coordinates of the first set of points. The arguments x2,y2 specify the coordinates of the second set of points. Alternatively if period is given, then the distances will be computed in the periodic' sense (also known as torus' distance). The points will be treated as if they are in a rectangle of width period[1] and height period[2]. Opposite edges of the rectangle are regarded as equivalent. 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.

##### Value

• A matrix whose [i,j] entry is the distance from the i-th point in the first set of points to the j-th point in the second set of points.

crossdist, crossdist.ppp, crossdist.psp, pairdist, nndist, Gest
d <- crossdist(runif(7), runif(7), runif(12), runif(12))
d <- crossdist(runif(7), runif(7), runif(12), runif(12), period=c(1,1))