pairdist.ppp | R Documentation |
Computes the matrix of distances between all pairs of points in a point pattern.
## S3 method for class 'ppp'
pairdist(X, ...,
periodic=FALSE, method="C", squared=FALSE, metric=NULL)
X |
A point pattern (object of class |
... |
Ignored. |
periodic |
Logical. Specifies whether to apply a periodic edge correction. |
method |
String specifying which method of calculation to use.
Values are |
squared |
Logical. If |
metric |
Optional. A metric (object of class |
This is a method for the generic function pairdist
.
Given a point pattern X
(an object of class "ppp"
),
this function computes the Euclidean distances between all pairs of
points in X
, and returns the matrix of distances.
Alternatively if periodic=TRUE
and the window containing X
is a
rectangle, 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.
If squared=TRUE
then the squared Euclidean distances
d^2
are returned, instead of the Euclidean distances d
.
The squared distances are faster to calculate, and are sufficient for
many purposes (such as finding the nearest neighbour of a point).
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 somewhat faster.
A square matrix whose [i,j]
entry is the distance
between the points numbered i
and j
.
and \adrian.
pairdist
,
pairdist.default
,
pairdist.psp
,
crossdist
,
nndist
,
Kest
d <- pairdist(cells)
d <- pairdist(cells, periodic=TRUE)
d <- pairdist(cells, squared=TRUE)
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