rpoispp3

0th

Percentile

Generate Poisson Point Pattern in Three Dimensions

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

Keywords
spatial, datagen
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

runifpoint3, pp3, box3

Aliases
  • rpoispp3
Examples
# NOT RUN {
   X <- rpoispp3(50)
# }
Documentation reproduced from package spatstat, version 1.61-0, License: GPL (>= 2)

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