Package: NCSampling 1.0

Gavin Melville

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>.

Authors:GJ Melville

NCSampling_1.0.tar.gz
NCSampling_1.0.tar.gz(r-4.5-noble)NCSampling_1.0.tar.gz(r-4.4-noble)
NCSampling_1.0.tgz(r-4.4-emscripten)NCSampling_1.0.tgz(r-4.3-emscripten)
NCSampling.pdf |NCSampling.html
NCSampling/json (API)

# Install 'NCSampling' in R:
install.packages('NCSampling', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.11 score 13 scripts 140 downloads 11 exports 3 dependencies

Last updated 7 years agofrom:3218be49c8. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-linuxOKOct 08 2024

Exports:AddzAllocCentroidsCheck.popDesVarDVarExistingNC.sampleNC.selectR.sample1Spatial.plot

Dependencies:latticerandomForestyaImpute