Simulate systematic random point pattern
rsyst(win=square(1), nx=NULL, ny=nx, ..., dx=NULL, dy=dx, nsim=1, drop=TRUE)
- A window.
An object of class
owin, or data in any format acceptable to
- Number of columns of grid points in the window.
- Number of rows of grid points in the window.
- Spacing of grid points in $x$ direction.
- Spacing of grid points in $y$ direction.
- Number of simulated realisations to be generated.
- Logical. If
drop=TRUE(the default), the result will be a point pattern, rather than a list containing a point pattern.
This function generates a
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
The grid spacing in the $y$ direction is determined
either by the number of rows
ny or by the
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
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
This function is useful in creating dummy points for quadrature
quadscheme) as well as in simulating
random point patterns.
- A point pattern (an object of class
nsim=1, or a list of point patterns if
nsim > 1.
X <- rsyst(nx=10) plot(X) # polygonal boundary data(letterR) X <- rsyst(letterR, 5, 10) plot(X)