Description This package implements the conditioned Latin hypercube sampling, as published by Mi-nasny and McBratney (2006). This method proposes to stratify sampling in presence of ancil-lary data. An extension of this method, which propose to associate a cost to each individ-ual and take it into account during the optimisation process, is also proposed (Roudier et al., 2012). Depends R (> = 2.14.0) Imports utils, methods, grid, ggplot2, sp, raster, reshape2, plyr,scale
The Latin Hypercube Sampling, LHS, plan was presented by McKay, Beckman and Conover (Technometrics, ...
McKay, Conover and Beckman (1979) introduced Latin hypercube sampling (LHS) for reducing variance of...
quantities. The which depends are known. Giv what is the prob many times. By ability can be ob some ...
Description This package implements the conditioned Latin hypercube sampling, as published by Minasn...
This document is a reference guide for LHS, Sandia`s Latin Hypercube Sampling Software. This softwar...
The conditioned Latin hypercube sampling (cLHS) algorithm is popularly used for planning field sampl...
Abstract: In this article, a novel method for the exten-sion of sample size in Latin Hypercube Sampl...
For obtaining maps of good precision by the spatial inference method, the distribution of sampling s...
International audienceIn some studies requiring predictive and CPU-time consuming numerical models, ...
Latin hypercube sampling is suggested as a tool to improve the efficiency of different importance sa...
This paper examines the application of Latin Hypercube Sampling (LHS) and Antithetic Variables (AVs)...
This is a package for generating latin hypercube samples with multi-dimensional uniformity. This all...
International audienceWe analyze an extended form of Latin hypercube sampling technique that can be ...
McKay, Conover and Beckman (1979) introduced Latin hypercube sampling (LHS) for reducing variance of...
In engineering design optimization, the optimal sampling design method is usually used to solve larg...
The Latin Hypercube Sampling, LHS, plan was presented by McKay, Beckman and Conover (Technometrics, ...
McKay, Conover and Beckman (1979) introduced Latin hypercube sampling (LHS) for reducing variance of...
quantities. The which depends are known. Giv what is the prob many times. By ability can be ob some ...
Description This package implements the conditioned Latin hypercube sampling, as published by Minasn...
This document is a reference guide for LHS, Sandia`s Latin Hypercube Sampling Software. This softwar...
The conditioned Latin hypercube sampling (cLHS) algorithm is popularly used for planning field sampl...
Abstract: In this article, a novel method for the exten-sion of sample size in Latin Hypercube Sampl...
For obtaining maps of good precision by the spatial inference method, the distribution of sampling s...
International audienceIn some studies requiring predictive and CPU-time consuming numerical models, ...
Latin hypercube sampling is suggested as a tool to improve the efficiency of different importance sa...
This paper examines the application of Latin Hypercube Sampling (LHS) and Antithetic Variables (AVs)...
This is a package for generating latin hypercube samples with multi-dimensional uniformity. This all...
International audienceWe analyze an extended form of Latin hypercube sampling technique that can be ...
McKay, Conover and Beckman (1979) introduced Latin hypercube sampling (LHS) for reducing variance of...
In engineering design optimization, the optimal sampling design method is usually used to solve larg...
The Latin Hypercube Sampling, LHS, plan was presented by McKay, Beckman and Conover (Technometrics, ...
McKay, Conover and Beckman (1979) introduced Latin hypercube sampling (LHS) for reducing variance of...
quantities. The which depends are known. Giv what is the prob many times. By ability can be ob some ...