linearKcross {spatstat.linnet} | R Documentation |
Multitype K Function (Cross-type) for Linear Point Pattern
Description
For a multitype point pattern on a linear network,
estimate the multitype function
which counts the expected number of points of type
within a given distance of a point of type
.
Usage
linearKcross(X, i, j, r=NULL, ..., correction="Ang")
Arguments
X |
The observed point pattern,
from which an estimate of the cross type |
i |
Number or character string identifying the type (mark value)
of the points in |
j |
Number or character string identifying the type (mark value)
of the points in |
r |
numeric vector. The values of the argument |
correction |
Geometry correction.
Either |
... |
Ignored. |
Details
This is a counterpart of the function Kcross
for a point pattern on a linear network (object of class "lpp"
).
The arguments i
and j
will be interpreted as
levels of the factor marks(X)
.
If i
and j
are missing, they default to the first
and second level of the marks factor, respectively.
The argument r
is the vector of values for the
distance at which
should be evaluated.
The values of
must be increasing nonnegative numbers
and the maximum
value must not exceed the radius of the
largest disc contained in the window.
Value
An object of class "fv"
(see fv.object
).
Warnings
The arguments i
and j
are interpreted as
levels of the factor marks(X)
. Beware of the usual
trap with factors: numerical values are not
interpreted in the same way as character values.
Author(s)
Adrian Baddeley Adrian.Baddeley@curtin.edu.au
References
Baddeley, A, Jammalamadaka, A. and Nair, G. (2014) Multitype point process analysis of spines on the dendrite network of a neuron. Applied Statistics (Journal of the Royal Statistical Society, Series C), 63, 673–694.
See Also
Examples
K <- linearKcross(chicago, "assault", "robbery")