clhs: Conditioned Latin Hypercube Sampling

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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/b12728-46>).

Author
Pierre Roudier
Date of publication
2016-10-14 00:10:02
Maintainer
Pierre Roudier <roudierp@landcareresearch.co.nz>
License
GPL (>= 2)
Version
0.5-6

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Man pages

clhs
Conditioned Latin Hypercube Sampling
clhs-package
Conditioned Latin Hypercube Sampling
cLHS_result
Conditioned Latin Hypercube Sampling result
plot.cLHS_result
Plot cLHS results

Files in this package

clhs
clhs/inst
clhs/inst/CITATION
clhs/inst/doc
clhs/inst/doc/vignette.Rnw
clhs/inst/doc/vignette.pdf
clhs/inst/doc/vignette.R
clhs/NAMESPACE
clhs/NEWS
clhs/R
clhs/R/utils.R
clhs/R/plot.R
clhs/R/clhs.R
clhs/R/clhs-internal.R
clhs/R/clhs-raster.R
clhs/R/clhs-sp.R
clhs/R/AAAA.R
clhs/vignettes
clhs/vignettes/vignette.Rnw
clhs/README.md
clhs/MD5
clhs/build
clhs/build/vignette.rds
clhs/DESCRIPTION
clhs/man
clhs/man/clhs-package.Rd
clhs/man/cLHS_result.Rd
clhs/man/clhs.Rd
clhs/man/plot.cLHS_result.Rd