Adaptive Estimate of Intensity of Point Pattern
Computes an adaptive estimate of the intensity function of a point pattern.
adaptive.density(X, ..., method=c("voronoi","kernel"))X |
Point pattern (object of class |
method |
Character string specifying the estimation method |
... |
Additional arguments passed to
|
This function is an alternative to density.ppp. It
computes an estimate of the intensity function of a point pattern
dataset. The result is a pixel image giving the estimated intensity.
If method="voronoi" the data are passed to the function
densityVoronoi which estimates the intensity using
the Voronoi-Dirichlet tessellation.
If method="kernel" the data are passed to the function
densityAdaptiveKernel which estimates the intensity
using a variable-bandwidth kernel estimator.
A pixel image (object of class "im") whose values are
estimates of the intensity of X.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk and Mehdi Moradi.
plot(adaptive.density(nztrees, 1), main="Voronoi estimate")
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