
Last chance! 50% off unlimited learning
Sale ends in
Computes the distances between pairs of points taken from two different multi-dimensional point patterns.
# S3 method for ppx
crossdist(X, Y, …)
Multi-dimensional point patterns (objects of class "ppx"
).
Arguments passed to coords.ppx
to determine
which coordinates should be used.
A matrix whose [i,j]
entry is the distance
from the i
-th point in X
to the j
-th point in Y
.
Given two point patterns in multi-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 "ppx"
).
This function expects two multidimensional
point patterns X
and Y
, and returns the matrix
whose [i,j]
entry is the distance from X[i]
to
Y[j]
.
By default, both spatial and temporal coordinates are extracted.
To obtain the spatial distance between points in a space-time point
pattern, set temporal=FALSE
.
# NOT RUN {
df <- data.frame(x=runif(3),y=runif(3),z=runif(3),w=runif(3))
X <- ppx(data=df)
df <- data.frame(x=runif(5),y=runif(5),z=runif(5),w=runif(5))
Y <- ppx(data=df)
d <- crossdist(X, Y)
# }
Run the code above in your browser using DataLab