BalancedSampling

swMATH15761CRANBalancedSamplingMaRDI QIDQ27639

Balanced and Spatially Balanced Sampling

Anton Grafström

Last update: 23 February 2024

Copyright license: GNU General Public License, version 3.0, GNU General Public License, version 2.0

Software version identifier: 1.6.3, 1.0, 1.4, 1.5.1, 1.5.2, 1.5.3, 1.5.4, 1.5.5, 2.0.5

Source code repository: https://github.com/cran/BalancedSampling

Description

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>.

Cites work

• Spatially Balanced Sampling through the Pivotal Method
• Spatially correlated Poisson sampling
• Doubly balanced spatial sampling with spreading and restitution of auxiliary totals

Related Items (13)

Efficiency and feasibility of sampling schemes in establishment surveys ⋮ A simulated annealing-based algorithm for selecting balanced samples ⋮ Ordered spatial sampling by means of the traveling salesman problem ⋮ Spatiotemporal balanced sampling design for longitudinal area surveys ⋮ Sampling a two dimensional matrix ⋮ Alternative and complementary approaches to spatially balanced samples ⋮ Spatial spread sampling using weakly associated vectors ⋮ Balancing a sample almost perfectly ⋮ sgsR ⋮ SpotSampling ⋮ Sample selection when a multivariate set of size measures is available ⋮ A general result for selecting balanced unequal probability samples from a stream ⋮ Spatially balanced sampling with local ranking

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