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), Simple Random Sampling, Dynamic Assignment Sampling and Doubly balanced Dynamic Assignment 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) . Robertson, B.L., Price, C.J., Reale, M., Davies, P. (2026) . Robertson, B.L., Price, C.J., Reale, M., Davies, P. (2026) .

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).

Dynamic Assignment Sampling (DAS) and Doubly balanced Dynamic Assignment Sampling (doubleDAS) implemented in spbal 1.1.0.

spbal-1.1.0