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.
rstrat(win=square(1), nx, ny=nx, k = 1, nsim=1, drop=TRUE)
win |
A window.
An object of class |
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 |
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 * 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.
A point pattern (an object of class "ppp")
if nsim=1, or a list of point patterns if nsim > 1.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au
and Rolf Turner r.turner@auckland.ac.nz
X <- rstrat(nx=10) plot(X) # polygonal boundary X <- rstrat(letterR, 5, 10, k=3) plot(X)
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