Balanced and Spatially Balanced Sampling
BalancedSampling: Balanced and Spatially Balanced Sampling
The Cube method
Generate populations
Inclusion probabilities proportional-to-size
Hierarchical Local Pivotal Method 2
The Local Cube method
The (Local) Pivotal Methods
Spatial balance
Spatially Correlated Poisson Sampling
Variance estimator for spatially balanced samples
Select balanced and spatially balanced probability samples in multi-dimensional spaces with any prescribed inclusion probabilities. It contains fast (C++ via Rcpp) implementations of the included sampling methods. The local pivotal method by Grafström, Lundström and Schelin (2012) <doi:10.1111/j.1541-0420.2011.01699.x> and spatially correlated Poisson sampling by Grafström (2012) <doi:10.1016/j.jspi.2011.07.003> are included. Also the cube method (for balanced sampling) and the local cube method (for doubly balanced sampling) are included, see Grafström and Tillé (2013) <doi:10.1002/env.2194>.