rstrat

0th

Percentile

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.

Keywords
spatial, datagen
Usage
rstrat(win=square(1), nx, ny=nx, k = 1, nsim=1, drop=TRUE)
Arguments
win

A window. An object of class owin, or data in any format acceptable to as.owin().

nx

Number of tiles in each column.

ny

Number of tiles in each row.

k

Number of random points to generate in each tile.

nsim

Number of simulated realisations to be generated.

drop

Logical. If nsim=1 and drop=TRUE (the default), the result will be a point pattern, rather than a list containing a point pattern.

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 (an object of class "ppp") if nsim=1, or a list of point patterns if nsim > 1.

• rstrat
Examples
# NOT RUN {
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 1.59-0, License: GPL (>= 2)

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