R: Diffusion Estimate of Point Pattern Intensity

densityHeat {spatstat.core} | R Documentation

## Diffusion Estimate of Point Pattern Intensity

### Description

Computes a diffusion estimate of intensity for a point pattern.

### Usage

    densityHeat(x, sigma, ...)

### Arguments

`x` | Point pattern (object of class `"ppp"` or another class).
`sigma` | Smoothing bandwidth. Usually a single number giving the equivalent standard deviation of the smoother.
`...` | Additional arguments depending on the method.

### Details

The generic function `densityHeat` computes an estimate of point process intensity using a diffusion kernel method.

Further details depend on the class of point pattern `x`. See the help file for the appropriate method.

### Value

Depends on the class of `x`.

### Author(s)

Adrian Baddeley and Tilman Davies.

### See Also

For two-dimensional point patterns (objects of class `"ppp"`), the diffusion kernel estimator is `densityHeat.ppp`. The usual kernel estimator is `density.ppp`, and the tessellation-based estimator is `adaptive.density`.

[Package spatstat.core version 2.0-0 Index]