# rpoisppx

##### Generate Poisson Point Pattern in Any Dimensions

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

##### Usage

`rpoisppx(lambda, domain, nsim=1, drop=TRUE)`

##### Arguments

- lambda
Intensity of the Poisson process. A single positive number.

- domain
Multi-dimensional box in which the process should be generated. An object of class

`"boxx"`

.- 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 single point pattern.

##### Details

This function generates a realisation
of the homogeneous Poisson process in multi dimensions,
with intensity `lambda`

(points per unit volume).

The realisation is generated inside the multi-dimensional region
`domain`

which currently must be a rectangular box (object of
class `"boxx"`

).

##### Value

If `nsim = 1`

and `drop=TRUE`

,
a point pattern (an object of class `"ppx"`

).
If `nsim > 1`

or `drop=FALSE`

, a list of such point patterns.

##### Note

The intensity `lambda`

is the expected number of points
*per unit volume*.

##### See Also

##### Examples

```
# NOT RUN {
w <- boxx(x=c(0,1), y=c(0,1), z=c(0,1), t=c(0,3))
X <- rpoisppx(10, w)
# }
```

*Documentation reproduced from package spatstat, version 1.56-1, License: GPL (>= 2)*