Pairwise distances between two different three-dimensional point patterns
Computes the distances between pairs of points taken from two different three-dimensional point patterns.
## S3 method for class 'pp3' crossdist(X, Y, ..., periodic=FALSE, squared=FALSE)
X,Y |
Point patterns in three dimensions (objects of class |
... |
Ignored. |
periodic |
Logical. Specifies whether to apply a periodic edge correction. |
squared |
Logical. If |
Given two point patterns in three-dimensional space, 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 three-dimensional point patterns (objects of class "pp3").
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.
A matrix whose [i,j] entry is the distance
from the i-th point in X
to the j-th point in Y.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au
based on code for two dimensions by Pavel Grabarnik.
if(require(spatstat.core)) {
X <- runifpoint3(20)
Y <- runifpoint3(30)
} else {
X <- osteo$pts[[1]]
Y <- osteo$pts[[2]]
Y <- Y[domain(X)]
}
d <- crossdist(X, Y)
d <- crossdist(X, Y, periodic=TRUE)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.