Distribution Function of Interpoint Distance
Computes the cumulative distribution function of the distance between two independent random points in a given window or windows.
distcdf(W, V=W, ..., dW=1, dV=dW, nr=1024, regularise=TRUE)
W |
A window (object of class |
V |
Optional. Another window containing the second random point.
Defaults to |
... |
Arguments passed to |
dV, dW |
Optional. Probability densities (not necessarily normalised)
for the first and second random points respectively.
Data in any format acceptable
to |
nr |
Integer. The number of values of interpoint distance r for which the CDF will be computed. Should be a large value! |
regularise |
Logical value indicating whether to smooth the results for very small distances, to avoid discretisation artefacts. |
This command computes the Cumulative Distribution Function CDF(r) = Prob(T ≤ r) of the Euclidean distance T = |X1-X2| between two independent random points X1 and X2.
In the simplest case, the command distcdf(W), the random points are
assumed to be uniformly distributed in the same
window W.
Alternatively the two random points may be
uniformly distributed in two different windows W and V.
In the most general case the first point X1 is random
in the window W with a probability density proportional to
dW, and the second point X2 is random in
a different window V with probability density proportional
to dV. The values of dW and dV must be
finite and nonnegative.
The calculation is performed by numerical integration of the set covariance
function setcov for uniformly distributed points, and
by computing the covariance function imcov in the
general case. The accuracy of the result depends on
the pixel resolution used to represent the windows: this is controlled
by the arguments ... which are passed to as.mask.
For example use eps=0.1 to specify pixels of size 0.1 units.
The arguments W or V may also be point patterns
(objects of class "ppp").
The result is the cumulative distribution function
of the distance from a randomly selected point in the point pattern,
to a randomly selected point in the other point pattern or window.
If regularise=TRUE (the default), values of the cumulative
distribution function for very short distances are smoothed to avoid
discretisation artefacts. Smoothing is applied to all distances
shorter than the width of 7 pixels.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au
and Rolf Turner r.turner@auckland.ac.nz
# The unit disc B <- disc() plot(distcdf(B))
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