spatstat.explore (version 3.3-1)

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", "nearest"))

Value

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

Arguments

X

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

method

Character string specifying the estimation method

...

Additional arguments passed to densityVoronoi, densityAdaptiveKernel.ppp or nndensity.ppp.

Author

Adrian Baddeley , Rolf Turner and Ege Rubak and Mehdi Moradi .

Details

This function is an alternative to density.ppp and density.lpp. 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.ppp which estimates the intensity using a variable-bandwidth kernel estimator. (This is not yet supported when X has class "lpp".)

If method="nearest" the data are passed to the function nndensity.ppp which estimates the intensity using the distance to the k-th nearest data point. (This is not yet supported when X has class "lpp".)

See Also

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

Examples

  plot(adaptive.density(nztrees, 1), main="Voronoi estimate")