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>).
| Version: | 0.5-6 |
| Depends: | R (≥ 2.14.0) |
| Imports: | utils, methods, grid, ggplot2, sp, raster, reshape2, plyr, scales |
| Published: | 2016-10-14 |
| Author: | Pierre Roudier |
| Maintainer: | Pierre Roudier <roudierp at landcareresearch.co.nz> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Citation: | clhs citation info |
| Materials: | README NEWS |
| CRAN checks: | clhs results |
| Reference manual: | clhs.pdf |
| Vignettes: |
Introduction to conditioned Latin hypercube sampling with the clhs package |
| Package source: | clhs_0.5-6.tar.gz |
| Windows binaries: | r-devel: clhs_0.5-6.zip, r-release: clhs_0.5-6.zip, r-oldrel: clhs_0.5-6.zip |
| OS X Mavericks binaries: | r-release: clhs_0.5-6.tgz, r-oldrel: clhs_0.5-6.tgz |
| Old sources: | clhs archive |
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