R: Generate Poisson Point Pattern in Three Dimensions

rpoispp3 {spatstat.random} | R Documentation

## Generate Poisson Point Pattern in Three Dimensions

### Description

Generate a random three-dimensional point pattern using the homogeneous Poisson process.

### Usage

    rpoispp3(lambda, domain = box3(), nsim=1, drop=TRUE)

### Arguments

`lambda` | Intensity of the Poisson process. A single positive number.
`domain` | Three-dimensional box in which the process should be generated. An object of class `"box3"`.
`nsim` | Number of simulated realisations to be generated.
`drop` | Logical. If `nsim=1` and `drop=TRUE` (the default), the result will be a point pattern, rather than a list containing a point pattern.

### Details

This function generates a realisation of the homogeneous Poisson process in three dimensions, with intensity `lambda` (points per unit volume).

The realisation is generated inside the three-dimensional region `domain` which currently must be a rectangular box (object of class `"box3"`).

### Value

If `nsim = 1` and `drop=TRUE`, a point pattern in three dimensions (an object of class `"pp3"`). If `nsim > 1`, a list of such point patterns.

### Note

The intensity `lambda` is the expected number of points per unit volume.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

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

### See Also

`runifpoint3`, `pp3`, `box3`

### Examples

       X <- rpoispp3(50)

[Package spatstat.random version 2.1-0 Index]