spatstat.core (version 2.3-1)

adaptive.density: Adaptive Estimate of Intensity of Point Pattern

Description

Computes an adaptive estimate of the intensity function of a point pattern.

Usage

adaptive.density(X, …, method=c("voronoi","kernel"))

Arguments

X

Point pattern (object of class "ppp" or "lpp").

method

Character string specifying the estimation method

…

Additional arguments passed to densityVoronoi or densityAdaptiveKernel.

Value

A pixel image (object of class "im") whose values are estimates of the intensity of X.

Details

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.

See Also

density.ppp, densityVoronoi, densityAdaptiveKernel, im.object.

Examples

# NOT RUN {
  plot(adaptive.density(nztrees, 1), main="Voronoi estimate")
# }