Low-level functions to find all close pairs of points.
closepairs(X, rmax, ...)# S3 method for ppp
closepairs(X, rmax, twice=TRUE,
what=c("all","indices","ijd"),
distinct=TRUE, neat=TRUE,
periodic=FALSE, ...)
crosspairs(X, Y, rmax, ...)
# S3 method for ppp
crosspairs(X, Y, rmax,
what=c("all", "indices", "ijd"),
periodic=FALSE, ...,
iX=NULL, iY=NULL)
A list with components i
and j
,
and possibly other components as described under Details.
Point patterns (objects of class "ppp"
).
Maximum distance between pairs of points to be counted as close pairs.
Logical value indicating whether all ordered pairs of close points
should be returned. If twice=TRUE
(the default),
each pair will appear twice in the output, as (i,j)
and again as (j,i)
. If twice=FALSE
,
then each pair will appear only once, as the pair (i,j)
with i < j
.
String specifying the data to be returned for each close pair of points.
If what="all"
(the default) then the
returned information includes the indices i,j
of each pair,
their x,y
coordinates, and the distance between them.
If what="indices"
then only the indices i,j
are
returned.
If what="ijd"
then the indices i,j
and the
distance d
are returned.
Logical value indicating whether to return only the
pairs of points with different indices i
and j
(distinct=TRUE
, the default) or to also include
the pairs where i=j
(distinct=FALSE
).
Logical value indicating whether to ensure that i < j
in each output pair, when twice=FALSE
.
Logical value indicating whether to use the periodic edge correction.
The window of X
should be a rectangle.
Opposite pairs of edges of the window will be treated as identical.
Extra arguments, ignored by methods.
Optional vectors used to determine whether a point in X
is identical to a point in Y
. See Details.
The results of these functions may not agree exactly with
the correct answer (as calculated by a human) and may not
be consistent between different computers and different installations
of R. The discrepancies arise in marginal cases where the interpoint
distance is equal to, or very close to, the threshold rmax
.
Floating-point numbers in a computer
are not mathematical Real Numbers: they are approximations using
finite-precision binary arithmetic.
The approximation is accurate to a tolerance of about
.Machine$double.eps
.
If the true interpoint distance \(d\) and the threshold rmax
are equal, or if their difference is no more than .Machine$double.eps
,
the result may be incorrect.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au and Rolf Turner r.turner@auckland.ac.nz
These are the efficient low-level functions used by spatstat to find all close pairs of points in a point pattern or all close pairs between two point patterns.
closepairs(X,rmax)
finds all pairs of distinct points
in the pattern X
which lie at a distance less than or equal to
rmax
apart, and returns them. The result is
a list with the following components:
Integer vector of indices of the first point in each pair.
Integer vector of indices of the second point in each pair.
Coordinates of the first point in each pair.
Coordinates of the second point in each pair.
Equal to xj-xi
Equal to yj-yi
Euclidean distance between each pair of points.
If what="indices"
then only the components i
and
j
are returned. This is slightly faster and more efficient
with use of memory.
crosspairs(X,rmax)
identifies all pairs of neighbours
(X[i], Y[j])
between the patterns X
and Y
,
and returns them. The result is
a list with the same format as for closepairs
.
The arguments iX
and iY
are used when
the two point patterns X
and Y
may have some points in
common. In this situation crosspairs(X, Y)
would return some
pairs of points in which the two points are identical.
To avoid this, attach a unique integer
identifier to each point, such that two points are identical if their
identifier values are equal. Let iX
be the vector of
identifier values for the points in X
, and iY
the vector of identifiers for points in Y
. Then the code
will only compare two points if they have different values of the
identifier.
closepairs.pp3
for the corresponding
functions for 3D point patterns.
Kest
, Kcross
,
nndist
, nncross
,
applynbd
, markstat
for functions which use these capabilities.
d <- closepairs(cells, 0.1)
head(as.data.frame(d))
Y <- split(amacrine)
e <- crosspairs(Y$on, Y$off, 0.1)
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