R: Intensity of a Dataset or a Model

intensity {spatstat.geom} | R Documentation

## Intensity of a Dataset or a Model

### Description

Generic function for computing the intensity of a spatial dataset or spatial point process model.

### Usage

    intensity(X, ...)

### Arguments

`X` | A spatial dataset or a spatial point process model.
`...` | Further arguments depending on the class of `X`.

### Details

This is a generic function for computing the intensity of a spatial dataset or spatial point process model. There are methods for point patterns (objects of class `"ppp"`) and fitted point process models (objects of class `"ppm"`).

The empirical intensity of a dataset is the average density (the average amount of ‘stuff’ per unit area or volume). The empirical intensity of a point pattern is computed by the method `intensity.ppp`.

The theoretical intensity of a stochastic model is the expected density (expected amount of ‘stuff’ per unit area or volume). The theoretical intensity of a fitted point process model is computed by the method `intensity.ppm`.

### Value

Usually a numeric value or vector.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

and Rolf Turner r.turner@auckland.ac.nz

### See Also

`intensity.ppp`, `intensity.ppm`.

[Package spatstat.geom version 2.3-2 Index]