R: Intensity of Fitted Spatial Logistic Regression Model

intensity.slrm {spatstat.core} | R Documentation

## Intensity of Fitted Spatial Logistic Regression Model

### Description

Computes the intensity of a fitted spatial logistic regression model, treated as a point process model.

### Usage

    ## S3 method for class 'slrm'
    intensity(X, ...)

### Arguments

`X` | A fitted spatial logistic regression model (object of class `"slrm"`).
`...` | Arguments passed to `predict.slrm` in some cases. See Details.

### Details

This is a method for the generic function `intensity` for spatial logistic regression models (class `"slrm"`).

The fitted spatial logistic regression model `X` is interpreted as a point process model. The intensity of a point process model is defined as the expected number of random points per unit area. The fitted probabilities of presence according to `X` are converted to intensity values.

The result is a numerical value if `X` is stationary, and a pixel image if `X` is non-stationary. In the latter case, the resolution of the pixel image is controlled by the arguments `...` which are passed to `predict.slrm`.

### Value

A numeric value (if the model is stationary) or a pixel image.

### Author(s)

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

### References

Baddeley, A., Berman, M., Fisher, N.I., Hardegen, A., Milne, R.K., Schuhmacher, D., Shah, R. and Turner, R. (2010) Spatial logistic regression and change-of-support for spatial Poisson point processes. Electronic Journal of Statistics 4, 1151–1201. doi: 10.1214/10-EJS581

### See Also

`intensity`, `intensity.ppm`

### Examples

      fitS <- slrm(swedishpines ~ 1)
      intensity(fitS)
      fitX <- slrm(swedishpines ~ x)
      intensity(fitX)

[Package spatstat.core version 2.3-1 Index]