# rcell

##### Simulate Baddeley-Silverman Cell Process

Generates a random point pattern using the cell process. The $K$ function of the cell process is indistinguishable from the $K$ function of Complete Spatial Randomness.

- Keywords
- spatial

##### 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 to`as.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))
```

*Documentation reproduced from package spatstat, version 1.9-0, License: GPL version 2 or newer*