Package: spbal
Type: Package
Title: Spatially Balanced Sampling Algorithms
Version: 1.0.1
Authors@R: c(
    person("Phil", "Davies", email = "philip.davies@canterbury.ac.nz", role = c("aut", "cre")),
    person("Blair", "Robertson", email = "blair.robertson@canterbury.ac.nz", role = c("aut")),
    person("Paul", "van Dam-Bates", email = "paul.vandambates@gmail.com", role = c("aut")),
    person("Oliver", "Gansell", email = "ogansell@doc.govt.nz", role = c("aut")))
Description: 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>.
Depends: R (>= 3.6.0)
License: MIT + file LICENSE
Encoding: UTF-8
Imports: units, sf, Rcpp
SystemRequirements: C++17
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), bookdown, ggplot2,
        gridExtra
VignetteBuilder: knitr
LinkingTo: Rcpp, RcppThread
RoxygenNote: 7.3.2
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2025-03-28 09:09:34 UTC; phil
Author: Phil Davies [aut, cre],
  Blair Robertson [aut],
  Paul van Dam-Bates [aut],
  Oliver Gansell [aut]
Maintainer: Phil Davies <philip.davies@canterbury.ac.nz>
Repository: CRAN
Date/Publication: 2025-03-28 09:20:02 UTC
Built: R 4.5.1; x86_64-w64-mingw32; 2025-10-26 02:20:36 UTC; windows
Archs: x64
