Kernel Smoothing of Linear Network
Compute a kernel smoothed intensity function for the line segments of a linear network.
## S3 method for class 'linnet' density(x, ...)
x |
Linear network (object of class |
... |
Arguments passed to |
This is the method for the generic function density
for the class "linnet" (linear networks).
The network x is first converted to a line segment pattern
(object of class "psp"). Then the method
density.psp is applied to the
segment pattern.
A kernel estimate of the intensity of the line segment pattern
is computed. The result is
the convolution of the isotropic Gaussian kernel, of
standard deviation sigma, with the line segments.
The intensity of a line segment pattern
is the (spatially-varying) amount of segment length per unit area,
expressed in the same units as the coordinates of x.
If the units of x are in metres, then an intensity value of 3
means that there are 3 metres of segment length per square metre of
spatial domain.
See density.psp
for more details.
A pixel image in two dimensions (object of class "im")
or a numeric vector.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.
D <- density(simplenet, 0.1) plot(D) plot(simplenet, add=TRUE, col="white") ## compare with average intensity volume(simplenet)/area(Window(simplenet))
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