rcell
Simulate Baddeley-Silverman Cell Process
Generates a random point pattern, a simulated realisation of the Baddeley-Silverman cell process model.
Usage
rcell(win=square(1), nx, ny=nx, dx=NULL, dy=NULL)
Arguments
- win
- A window.
An object of class
owin
, or data in any format acceptable toas.owin()
. - dx
- Width of the cells. Incompatible with
nx
. - dy
- Height of the cells.
Incompatible with
ny
. - nx
- Number of columns of cells in the window.
Incompatible with
dx
. - ny
- Number of rows of cells in the window.
Incompatible with
dy
.
Details
This function generates a simulated realisation of the
In the function rcell
the tile dimensions are determined
by the quantities dx, dy
if they are present. If they are absent, then the grid spacing is
determined so that there will be nx
columns and ny
rows
of tiles in the bounding rectangle of win
.
The cell process is then generated in these tiles.
Some of the resulting random points may lie outside the window win
:
if they do, they are deleted.
The result is a point pattern inside the window win
.
Value
- A point pattern (object of class
"ppp"
).
References
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.
See Also
Examples
X <- rcell(nx=15)
plot(X)
plot(Kest(X))