# rstrat

##### Simulate Stratified Random Point Pattern

Generates a ``stratified random'' pattern of points in a window,
by dividing the window into rectangular tiles and placing
`k`

random points independently in each tile.

##### Usage

`rstrat(win=square(1), nx, ny=nx, k = 1)`

##### Arguments

##### Details

This function generates a random pattern of points in a ``stratified random'' sampling design. It can be useful for generating random spatial sampling points.

The bounding rectangle of `win`

is divided into
a regular $nx \times ny$ grid of rectangular tiles.
In each tile, `k`

random points are generated independently
with a uniform distribution in that tile.

Some of these 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"`

).

##### See Also

##### Examples

```
X <- rstrat(nx=10)
plot(X)
# polygonal boundary
data(letterR)
X <- rstrat(letterR, 5, 10, k=3)
plot(X)
```

*Documentation reproduced from package spatstat, version 1.17-0, License: GPL (>= 2)*