scps_coord {BalancedSampling} | R Documentation |
Select spatially balanced samples with prescribed inclusion probabilities from a finite population. This implementation uses the maximal weight strategy and Euclidean distance. To be used with permanent random numbers.
scps_coord(prob,x,rand)
prob |
vector of length N with inclusion probabilities |
x |
matrix of (standardized) auxiliary variables of N rows and q columns |
rand |
vector of length N with permanent random numbers |
Returns a vector of selected indexes in 1,2,...,N. If the inclusion probabilities sum to n, where n is integer, then the sample size is fixed (n).
Grafström, A. (2012). Spatially correlated Poisson sampling. Journal of Statistical Planning and Inference, 142(1), 139-147.
## Not run: # Example 1 set.seed(12345); N = 1000; # population size n = 100; # sample size p = rep(n/N,N); # inclusion probabilities X = cbind(runif(N),runif(N)); # matrix of auxiliary variables u = runif(N); s = scps_coord(p,X,u); # select sample plot(X[,1],X[,2]); # plot population points(X[s,1],X[s,2], pch=19); # plot sample ## End(Not run)