Encapsulates a number of spatially balanced sampling algorithms, namely, Balanced Acceptance Sampling (equal, unequal, seed point, panels), Halton frames (for discretizing a continuous resource), Halton Iterative Partitioning (equal probability) and Simple Random Sampling. Robertson, B. L., Brown, J. A., McDonald, T. and Jaksons, P. (2013) <doi:10.1111/biom.12059>. Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2017) <doi:10.1016/j.spl.2017.05.004>. Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2018) <doi:10.1007/s10651-018-0406-6>. Robertson, B. L., van Dam-Bates, P. and Gansell, O. (2021a) <doi:10.1007/s10651-020-00481-1>. Robertson, B. L., Davies, P., Gansell, O., van Dam-Bates, P., McDonald, T. (2025) <doi:10.1111/anzs.12435>.
Version: 1.0.1 Depends: R (≥ 3.6.0) Imports: units, sf, Rcpp LinkingTo: Rcpp, RcppThread Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), bookdown, ggplot2, gridExtra Published: 2025-03-28 DOI: 10.32614/CRAN.package.spbal Author: Phil Davies [aut, cre], Blair Robertson [aut], Paul van Dam-Bates [aut], Oliver Gansell [aut] Maintainer: Phil Davies <philip.davies at canterbury.ac.nz> License: MIT + file LICENSE NeedsCompilation: yes SystemRequirements: C++17 Materials: README NEWS CRAN checks: spbal results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=spbal to link to this page.
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