Tools for the optimization of stratified sampling design. It determines a stratification of a sampling frame that minimizes sample cost while satisfying precision constraints in a multivariate and multidomain context. The approach relies on a genetic algorithm; each candidate partition of the frame is an individual whose fitness is evaluated via the Bethel-Chromy allocation to meet target precisions. Functions support analysis of optimization results, labeling of the frame with new strata, and drawing a sample according to the optimal allocation. Algorithmic components adapt code from the 'genalg' package. See M. Ballin and G. Barcaroli (2020) "R package SamplingStrata: new developments and extension to Spatial Sampling" <doi:10.48550/arXiv.2004.09366>.
Package details |
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| Author | Giulio Barcaroli [aut, cre], Marco Ballin [aut], Hanjo Odendaal [aut], Daniela Pagliuca [aut], Egon Willighagen [aut], Diego Zardetto [aut] |
| Maintainer | Giulio Barcaroli <gbarcaroli@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.5-5 |
| URL | https://barcaroli.github.io/SamplingStrata/ https://github.com/barcaroli/SamplingStrata/ |
| Package repository | View on CRAN |
| Installation |
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