R: Methods for Intensity Functions of Two Spatial Covariates

methods.rho2hat {spatstat.core} | R Documentation

## Methods for Intensity Functions of Two Spatial Covariates

### Description

These are methods for the class `"rho2hat"`.

### Usage

    ## S3 method for class 'rho2hat'
    plot(x, ..., do.points=FALSE)

    ## S3 method for class 'rho2hat'
    print(x, ...)

    ## S3 method for class 'rho2hat'
    predict(object, ..., relative=FALSE)

### Arguments

`x,object` | An object of class `"rho2hat"`.
`...` | Arguments passed to other methods.
`do.points` | Logical value indicating whether to plot the observed values of the covariates at the data points.
`relative` | Logical value indicating whether to compute the estimated point process intensity (`relative=FALSE`) or the relative risk (`relative=TRUE`) in the case of a relative risk estimate.

### Details

These functions are methods for the generic commands `print`, `predict` and `plot` for the class `"rho2hat"`.

An object of class `"rho2hat"` is an estimate of the intensity of a point process, as a function of two given spatial covariates. See `rho2hat`.

The method `plot.rho2hat` displays the estimated function rho using `plot.fv`, and optionally adds a `rug` plot of the observed values of the covariate. In this plot the two axes represent possible values of the two covariates.

The method `predict.rho2hat` computes a pixel image of the intensity rho(Z1(u), Z2(u)) at each spatial location u, where Z1(u) and Z2(u) are the two spatial covariates.

### Value

For `predict.rho2hat` the value is a pixel image (object of class `"im"`). For other functions, the value is `NULL`.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

### See Also

`rho2hat`

### Examples

      r2 <- with(bei.extra, rho2hat(bei, elev, grad))
      r2
      plot(r2)
      plot(predict(r2))

[Package spatstat.core version 2.0-0 Index]