adaptive.density: Adaptive Estimate of Intensity of Point Pattern

In spatstat.explore: Exploratory Data Analysis for the 'spatstat' Family

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"))

Arguments

X	Point pattern (object of class "ppp" or "lpp").
method	Character string specifying the estimation method
...	Additional arguments passed to densityVoronoi, densityAdaptiveKernel or nndensity.

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.

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

Value

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

Author(s)

\spatstatAuthors

and \mehdi.

See Also

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

Examples

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

spatstat.explore documentation built on Oct. 23, 2023, 1:07 a.m.