Simulate Baddeley-Silverman Cell Process
Generates a random point pattern, a simulated realisation of the Baddeley-Silverman cell process model.
rcell(win=square(1), nx=NULL, ny=nx, ..., dx=NULL, dy=dx, N=10)
- A window.
An object of class
owin, or data in any format acceptable to
- Number of columns of cells in the window.
- Number of rows of cells in the window.
- Width of the cells. Incompatible with
- Height of the cells.
- Integer. Distributional parameter:
the maximum number of random points in each cell.
This function generates a simulated realisation of the
The tile width is determined
either by the number of columns
nx or by the
The tile height is determined
either by the number of rows
ny or by the
The cell process is then generated in these tiles.
The random numbers of points are generated by
Some of the resulting random points may lie outside the window
if they do, they are deleted.
The result is a point pattern inside the window
- A point pattern (object of class
Baddeley, A.J. and Silverman, B.W. (1984) A cautionary example on the use of second-order methods for analyzing point patterns. Biometrics 40, 1089-1094.
X <- rcell(nx=15) plot(X) plot(Kest(X))