spbal: Spatially Balanced Sampling Algorithms
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>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
units, sf, Rcpp |
| LinkingTo: |
Rcpp, RcppThread |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0), bookdown, ggplot2, gridExtra |
| Published: |
2024-05-17 |
| 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:
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