Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

rpoispp3

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)

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

See Also

Examples

X <- rpoispp3(50)

spatstat.core

Core Functionality of the 'spatstat' Family

v2.1-2
GPL (>= 2)
Authors
Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao Guan [ctb], Ute Hahn [ctb], Kassel Hingee [ctb], Abdollah Jalilian [ctb], Marie-Colette van Lieshout [ctb], Greg McSwiggan [ctb], Tuomas Rajala [ctb], Suman Rakshit [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb], Hangsheng Wang [ctb]
Initial release
2021-04-17

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.