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spbal  

Spatially Balanced Sampling Algorithms
View on CRAN: Click here


Download and install spbal package within the R console
Install from CRAN:
install.packages("spbal")

Install from Github:
library("remotes")
install_github("cran/spbal")

Install by package version:
library("remotes")
install_version("spbal", "1.0.0")



Attach the package and use:
library("spbal")
Maintained by
Phil Davies
[Scholar Profile | Author Map]
First Published: 2024-05-17
Latest Update: 2024-05-17
Description:
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) <doi:10.1111/biom.12059>. Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2017) <doi:10.1016/j.spl.2017.05.004>. Robertson, B. L., McDonald, T., Price, C. J. and Brown, J. A. (2018) <doi:10.1007/s10651-018-0406-6>. Robertson, B. L., van Dam-Bates, P. and Gansell, O. (2021a) <doi:10.1007/s10651-020-00481-1>.
How to cite:
Phil Davies (2024). spbal: Spatially Balanced Sampling Algorithms. R package version 1.0.0, https://cran.r-project.org/web/packages/spbal. Accessed 21 Feb. 2025.
Previous versions and publish date:
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Complete documentation for spbal
Functions, R codes and Examples using the spbal R package
Full spbal package functions and examples
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