NCSampling: Nearest Centroid (NC) Sampling

Provides functionality for performing Nearest Centroid (NC) Sampling. The NC sampling procedure was developed for forestry applications and selects plots for ground measurement so as to maximize the efficiency of imputation estimates. It uses multiple auxiliary variables and multivariate clustering to search for an optimal sample. Further details are given in Melville G. & Stone C. (2016) <doi:10.1080/00049158.2016.1218265>.

Version: 1.0
Imports: yaImpute, lattice, randomForest
Published: 2017-06-27
DOI: 10.32614/CRAN.package.NCSampling
Author: GJ Melville
Maintainer: Gavin Melville <gavin.melville at>
License: GPL-2
NeedsCompilation: no
CRAN checks: NCSampling results


Reference manual: NCSampling.pdf


Package source: NCSampling_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): NCSampling_1.0.tgz, r-oldrel (arm64): NCSampling_1.0.tgz, r-release (x86_64): NCSampling_1.0.tgz, r-oldrel (x86_64): NCSampling_1.0.tgz


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