Multitype K Function (Dot-type) for Linear Point Pattern
For a multitype point pattern on a linear network, estimate the multitype K function which counts the expected number of points (of any type) within a given distance of a point of type i.
linearKdot(X, i, r=NULL, ..., correction="Ang")
X |
The observed point pattern,
from which an estimate of the dot type K function
K[i.](r) will be computed.
An object of class |
i |
Number or character string identifying the type (mark value)
of the points in |
r |
numeric vector. The values of the argument r at which the K-function K[i.](r) should be evaluated. There is a sensible default. First-time users are strongly advised not to specify this argument. See below for important conditions on r. |
correction |
Geometry correction.
Either |
... |
Ignored. |
This is a counterpart of the function Kdot
for a point pattern on a linear network (object of class "lpp").
The argument i will be interpreted as
levels of the factor marks(X).
If i is missing, it defaults to the first
level of the marks factor.
The argument r is the vector of values for the
distance r at which Ki.(r) should be evaluated.
The values of r must be increasing nonnegative numbers
and the maximum r value must not exceed the radius of the
largest disc contained in the window.
An object of class "fv" (see fv.object).
The argument i is interpreted as a
level of the factor marks(X). Beware of the usual
trap with factors: numerical values are not
interpreted in the same way as character values.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au
Baddeley, A, Jammalamadaka, A. and Nair, G. (to appear) 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.
data(chicago) K <- linearKdot(chicago, "assault")
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.