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An object of class "Patterns"
.
Generates n
2D points uniformly in Y
points for various values of e under the association pattern
and e
.
The pattern resembles the Matern cluster pattern (see rMatClust
in the
spatstat.core
package for further information (baddeley:2005;textualpcds).
rMatClust(kappa, scale, mu, win)
in the simplest
case generates a uniform Poisson point process of "parent" points with intensity kappa
.
Then each parent point is replaced by a random cluster of
"offspring" points, the number of points per cluster being Poisson(mu
) distributed, and their positions
being placed and uniformly inside a disc of radius scale centered on the parent point. The resulting point
pattern is a realization of the classical "stationary Matern cluster process" generated inside the
window win
.
The main difference of rasc.matern
and rMatClust
is that the parent points are Y
points
which are given beforehand and we do not discard them in the end in rasc.matern
and the offspring points
are the points associated with the reference points, Y
;
e
must be positive and very large values of e provide patterns close to CSR.
This function is also very similar to rasc.disc
, where rasc.disc
needs the study window to be specified,
while rasc.matern
does not.
rasc.matern(n, Y, e)
A positive integer representing the number of points to be generated.
A set of 2D points representing the reference points. The generated points are associated (in a Matern-cluster like fashion) with these points.
A positive real number representing the radius of the balls centered at Y
points. Only
these balls are allowed for the generated points (i.e., generated points would be in the union of
these balls).
A list
with the elements
The type of the point pattern
The "main"
title for the plot of the point pattern
Radial (i.e., circular) attraction parameter of the association pattern.
The input set of attraction points Y
,
i.e., points with which generated points are associated.
The output set of generated points associated with Y
points.
Logical output for triangulation based on Y
points should be implemented or not.
if TRUE
triangulation based on Y
points is to be implemented (default is set to FALSE
).
Description of the point pattern
The vector
of two numbers, which are the number of generated points and the number of
attraction (i.e., Y
) points.
The possible ranges of the
rasc.disc
, rascTe
, rascIITe
,
rascMT
, rseg.disc
, and rMatClust
in the spatstat.core
package
# NOT RUN {
nx<-20; ny<-4; #try also nx<-1000; ny<-10;
e<-.15; #try also e<-1.1; #closer to CSR than association, as e is large
#Y points uniform in unit square
Y<-cbind(runif(ny),runif(ny))
Xdt<-rasc.matern(nx,Y,e)
Xdt
summary(Xdt)
plot(Xdt,asp=1)
Xdt<-rasc.matern(nx,Y,e)$gen.points
Xlim<-range(Xdt[,1],Y[,1]);
Ylim<-range(Xdt[,2],Y[,2])
xd<-Xlim[2]-Xlim[1]
yd<-Ylim[2]-Ylim[1]
plot(Y,asp=1,xlab="x",ylab="y",main="Association of two classes",
xlim=Xlim+xd*c(-.01,.01),ylim=Ylim+yd*c(-.01,.01),pch=16,col=2,lwd=2)
points(Xdt)
a1<-0; a2<-10;
b1<-0; b2<-5;
e<-1.1;
#Y points uniform in a rectangle
Y<-cbind(runif(ny,a1,a2),runif(ny,b1,b2))
#try also Y<-cbind(runif(ny,a1,a2/2),runif(ny,b1,b2/2))
Xdt<-rasc.matern(nx,Y,e)$gen.points
Xlim<-range(Xdt[,1],Y[,1]);
Ylim<-range(Xdt[,2],Y[,2])
xd<-Xlim[2]-Xlim[1]
yd<-Ylim[2]-Ylim[1]
plot(Y,asp=1,xlab="x",ylab="y",main="association of two classes",
xlim=Xlim+xd*c(-.01,.01),ylim=Ylim+yd*c(-.01,.01),pch=16,col=2,lwd=2)
points(Xdt)
e<-.15
Y<-data.frame(yp=cbind(runif(ny),runif(ny)) )
Xdt<-rasc.matern(nx,Y,e)
# }
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