R: Adaptive Estimate of Intensity of Point Pattern

adaptive.density {spatstat.core} | R Documentation

## 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`.

### 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`.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk and Mehdi Moradi.

### See Also

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

### Examples

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

[Package spatstat.core version 2.0-0 Index]