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NCSampling
View on CRAN: Click
here
Download and install NCSampling package within the R console
Install from CRAN:
install.packages("NCSampling")
Install from Github:
library("remotes")
install_github("cran/NCSampling")
Install by package version:
library("remotes")
install_version("NCSampling", "1.0")
Attach the package and use:
library("NCSampling")
Maintained by
Gavin Melville
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-27
Latest Update: 2017-06-27
Description:
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) .
How to cite:
Gavin Melville (2017). NCSampling: Nearest Centroid (NC) Sampling. R package version 1.0, https://cran.r-project.org/web/packages/NCSampling
Previous versions and publish date:
No previous versions
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Other R packages that NCSampling depends,
imports, suggests or enhances
Functions, R codes and Examples using
the NCSampling R package
Some associated functions: Addz . Alloc . Centroids . Check.pop . DVar . DesVar . Existing . NC.sample . NC.select . NC_functions-package . R.sample1 . Spatial.plot . nundle.sf . training .
Some associated R codes: Addz.R . Alloc.R . Centroids.R . Check.pop.R . DVar.R . DesVar.R . Existing.R . NC.sample.R . NC.select.R . R.sample1.R . Spatial.plot.R . Full NCSampling package functions and examples
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