# rpoispp3

From spatstat v1.42-2
by Adrian Baddeley

##### Generate Poisson Point Pattern in Three Dimensions

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*.

##### See Also

##### Examples

`X <- rpoispp3(50)`

*Documentation reproduced from package spatstat, version 1.42-2, License: GPL (>= 2)*

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