Description Usage Arguments Value References See Also Examples
Monte Carlo confidence intervals of K-functions under CSR are provided for point-pattern analysis.
1 | sphere_montekhat(n, nsim, dis)
|
n |
Number of observed points |
nsim |
Number of simulations for K-function |
dis |
Vector of values for the argument r (from 0 to pi), at which K(r) is evaluated. By default, dis = seq(from=0,to=pi,by=0.1). |
Kci Simulated K-functions under CSR
Robeson, S.M., Li, A., Huang, C., 2014. Point-pattern analysis on the sphere. Spatial Statistics. 10, 76-86.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | #Spherical K function (minus CSR) with 95% confidence intervals
#for point patterns associated with 172 upper-air monitoring stations points
data(GUAN)
latg<-GUAN[,4]
long<-GUAN[,5]
d<-seq(from=0,to=pi,by=0.1)
nd<-length(d)
d[nd]<-pi
khatsg<-sphere_khat(latg,long,d)
Kcig<-sphere_montekhat(172,16,d)
plot(d,khatsg,type='n', ylim=c(-0.1,0.15),xlim=c(0,pi),xaxt = "n",
ylab = expression(K - CSR),xlab = expression("Spherical Angle"))
axis(1, at = c(0,pi/6, pi/3, pi/2, 2*pi/3, 5*pi/6, pi),
labels = expression(0,pi/6, pi/3, pi/2, 2*pi/3, 5*pi/6, pi))
polygon(c(d, rev(d)), c(Kcig[2,], rev(Kcig[16,])),col = "grey79", border = FALSE)
lines(d,khatsg,col = 4, lwd=2)
lines(y=c(0,0),x=c(0,pi),type='l',lty=2,lwd=2)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.