clhs

R package clhs. Conditioned Latin hypercube sampling, as published by Minasny and McBratney (2006) &lt;<a href=”http://dx.doi.org/10.1016/j.cageo.2005.12.009”>doi:10.1016/j.cageo.2005.12.009</a>&gt;. 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, &lt;<a href=”http://dx.doi.org/10.1201/b12728-46”>doi:10.1201/b12728-46</a>&gt;).