Spbsampling: Spatially Balanced Sampling

Selection of spatially balanced samples. In particular, the implemented sampling designs allow to select probability samples spread over the population of interest, in any dimension and using any distance function (e.g. Euclidean distance, Manhattan distance). For more details, Benedetti R and Piersimoni F (2017) <doi:10.1002/bimj.201600194> and Benedetti R and Piersimoni F (2017) <arXiv:1710.09116>. The implementation has been done in C++ through the use of 'Rcpp' and 'RcppArmadillo'.

Version: 1.2.0
Depends: R (≥ 3.1)
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Published: 2019-03-12
Author: Francesco Pantalone [aut, cre], Roberto Benedetti [aut], Federica Piersimoni [aut]
Maintainer: Francesco Pantalone <pantalone.fra at gmail.com>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: Spbsampling results


Reference manual: Spbsampling.pdf
Package source: Spbsampling_1.2.0.tar.gz
Windows binaries: r-devel: Spbsampling_1.2.0.zip, r-release: Spbsampling_1.2.0.zip, r-oldrel: Spbsampling_1.2.0.zip
OS X binaries: r-release: Spbsampling_1.2.0.tgz, r-oldrel: Spbsampling_1.2.0.tgz
Old sources: Spbsampling archive


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