Package: WaveSampling
Type: Package
Title: Weakly Associated Vectors (WAVE) Sampling
Version: 0.1.4
Authors@R: c(
  person("Raphaël", "Jauslin", email = "raphael.jauslin@bfs.admin.ch",role = c("aut", "cre"),
    comment = c(ORCID = "0000-0003-1088-3356")
    ),
  person("Yves", "Tillé",role = c("aut"),
    comment = c(ORCID = "0000-0003-0904-5523"))
  )
Description: Spatial data are generally auto-correlated, meaning that
        if two units selected are close to each other, then it is
        likely that they share the same properties. For this reason,
        when sampling in the population it is often needed that the
        sample is well spread over space. A new method to draw a sample
        from a population with spatial coordinates is proposed. This
        method is called wave (Weakly Associated Vectors) sampling. It
        uses the less correlated vector to a spatial weights matrix to
        update the inclusion probabilities vector into a sample. For
        more details see Raphaël Jauslin and Yves Tillé (2019)
        <doi:10.1007/s13253-020-00407-1>.
URL: https://github.com/RJauslin/WaveSampling
BugReports: https://github.com/RJauslin/WaveSampling/issues
License: GPL (>=2)
Encoding: UTF-8
RoxygenNote: 7.3.2
LinkingTo: RcppArmadillo, Rcpp
Imports: Rcpp
Depends: Matrix, R (>= 2.10)
Suggests: knitr, rmarkdown, ggplot2, sampling, BalancedSampling, stats
Repository: https://rjauslin.r-universe.dev
Date/Publication: 2025-01-31 12:49:45 UTC
RemoteUrl: https://github.com/rjauslin/wavesampling
RemoteRef: HEAD
RemoteSha: 27e18ac328d8d19a79e3fcade98f1bb41965a477
NeedsCompilation: yes
Packaged: 2026-10-06 10:30:11 UTC; root
Author: Raphaël Jauslin [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-1088-3356>),
  Yves Tillé [aut] (ORCID: <https://orcid.org/0000-0003-0904-5523>)
Maintainer: Raphaël Jauslin <raphael.jauslin@bfs.admin.ch>