rsyst

From spatstat v1.37-0 by Adrian Baddeley

Simulate systematic random point pattern

Generates a systematic random pattern of points in a window, consisting of a grid of equally-spaced points with a random common displacement.

Keywords: spatial, datagen

Usage

rsyst(win=square(1), nx=NULL, ny=nx, ..., dx=NULL, dy=dx)

Arguments

win: A window. An object of class owin, or data in any format acceptable to as.owin().
nx: Number of columns of grid points in the window. Incompatible with dx.
ny: Number of rows of grid points in the window. Incompatible with dy.
...: Ignored.
dx: Spacing of grid points in $x$ direction. Incompatible with nx.
dy: Spacing of grid points in $y$ direction. Incompatible with ny.

Details

This function generates a systematic random pattern of points in the window win. The pattern consists of a rectangular grid of points with a random common displacement. The grid spacing in the $x$ direction is determined either by the number of columns nx or by the horizontal spacing dx. The grid spacing in the $y$ direction is determined either by the number of rows ny or by the vertical spacing dy. The grid is then given a random displacement (the common displacement of the grid points is a uniformly distributed random vector in the tile of dimensions dx, dy). Some of the resulting grid points may lie outside the window win: if they do, they are deleted. The result is a point pattern inside the window win. This function is useful in creating dummy points for quadrature schemes (see quadscheme) as well as in simulating random point patterns.

Value

A point pattern (object of class "ppp").

Examples

X <- rsyst(nx=10)
  plot(X)

  # polygonal boundary
  data(letterR)
  X <- rsyst(letterR, 5, 10)
  plot(X)

Documentation reproduced from package spatstat, version 1.37-0, License: GPL (>= 2)

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