Spatially Balanced Sampling Algorithms

Encapsulates a number of spatially balanced sampling algorithms, namely, Balanced Acceptance Sampling (equal, unequal, seed point, panels), Halton frames (for discretizing a continuous resource), Halton Iterative Partitioning (equal probability) and Simple Random Sampling. Robertson, B. L., Brown, J. A., McDonald, T. and Jaksons, P. (2013) . Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2017) . Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2018) . Robertson, B. L., van Dam-Bates, P. and Gansell, O. (2021a) . Robertson, B. L., Davies, P., Gansell, O., van Dam-Bates, P., McDonald, T. (2025) .


R package spbal.

A package to encapsulate a number of spatially balanced sampling algorithms, namely, BAS (equal, unequal, seed point, panels), Halton frames (for discretizing a continuous resource), HIP (equal probability) and Simple Random Sampling (SRS).

Reference manual

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install.packages("spbal")

1.0.1 by Phil Davies, 2 years ago


Browse source code at https://github.com/cran/spbal


Authors: Phil Davies [aut, cre] , Blair Robertson [aut] , Paul van Dam-Bates [aut] , Oliver Gansell [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports units, sf, Rcpp

Suggests knitr, rmarkdown, testthat, bookdown, ggplot2, gridExtra

Linking to Rcpp, RcppThread

System requirements: C++17


Suggested by rLakeHabitat.


See at CRAN