Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006) <doi:10.1016/j.cageo.2005.12.009>. This method proposes to stratify sampling in presence of ancillary data. An extension of this method, which propose to associate a cost to each individual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012, <doi:10.1201/b12728>).
Version: 0.9.0 Depends: R (≥ 2.14.0) Imports: utils, methods, grid, ggplot2, sp, sf, raster, reshape2, plyr, cluster, Rcpp LinkingTo: RcppArmadillo, Rcpp Suggests: knitr, rmarkdown, testthat Published: 2021-10-14 DOI: 10.32614/CRAN.package.clhs Author: Pierre Roudier [aut, cre], Colby Brugnard [ctb], Dylan Beaudette [ctb], Benjamin Louis [ctb], Kiri Daust [ctb], David Clifford [ctb] Maintainer: Pierre Roudier <roudierp at landcareresearch.co.nz> BugReports: https://github.com/pierreroudier/clhs/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/pierreroudier/clhs/ NeedsCompilation: yes Citation: clhs citation info Materials: README NEWS CRAN checks: clhs results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=clhs to link to this page.
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