clhs (0.7-0)

Conditioned Latin Hypercube Sampling.

http://cran.r-project.org/web/packages/clhs

Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006) . 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, ).

Maintainer: Pierre Roudier
Author(s): Pierre Roudier [aut, cre], Colby Brugnard [ctb], Dylan Beaudette [ctb], Benjamin Louis [ctb]

License: GPL (>= 2)

Uses: cluster, ggplot2, plyr, raster, reshape2, scales, sp, testthat, knitr, rmarkdown

Released 5 days ago.