adaptive.density

From spatstat v1.61-0 by Adrian Baddeley

Adaptive Estimate of Intensity of Point Pattern

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

Keywords: methods, smooth, spatial

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.

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.

Value

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

Examples

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

Documentation reproduced from package spatstat, version 1.61-0, License: GPL (>= 2)

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