rcell(win=square(1), nx=NULL, ny=nx, ..., dx=NULL, dy=dx, N=10, nsim=1, drop=TRUE)
dx
.
dy
.
nx
.
ny
.
rcellnumber
.
nsim=1
and drop=TRUE
(the default), the
result will be a point pattern, rather than a list
containing a point pattern.
"ppp"
)
if nsim=1
, or a list of point patterns if nsim > 1
.
The tile width is determined
either by the number of columns nx
or by the
horizontal spacing dx
.
The tile height is determined
either by the number of rows ny
or by the
vertical spacing dy
.
The cell process is then generated in these tiles.
The random numbers of points are generated by rcellnumber
.
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
.
rcellnumber
,
rstrat
,
rsyst
,
runifpoint
,
Kest
X <- rcell(nx=15)
plot(X)
plot(Kest(X))
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