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.
- Version1.0.0
- R version≥ 3.6.0
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Robertson, B. L., Brown, J. A., McDonald, T. and Jaksons, P. (2013)
- Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2017)
- Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2018)
- Robertson, B. L., van Dam-Bates, P. and Gansell, O. (2021a)
- Last release05/17/2024
Documentation
Team
Phil Davies
Paul van Dam-Bates
Show author detailsRolesAuthorBlair Robertson
Show author detailsRolesAuthorOliver Gansell
Show author detailsRolesAuthor
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