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Testing geospatial R packages on implementations of the R language and platforms
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Orientador(es)
Resumo(s)
R is a programming language for statistical computation and graphics. Besides the
commonly used, GNU R, there are other alternative R implementations that claim
to have advantages compared to the GNU R. Unfortunately, it is not clear how will
geospatial R packages behave on these implementations since these packages often rely
on system libraries which installed at the system level. System libraries also depend
on the platform where the R is running. To find this information, this research aims
to explore the compatibility of geospatial R packages on different R implementation
and platform. This research also aims to see which R implementation and platform
has the best performance.
To make the exploration easier, container technology is used to install system
dependencies and R implementations. All system dependencies from sysreqsdb are
installed for geospatial R packages. From this exploration, it is found that not all R
implementations are compatible with geospatial packages. Problems found can be
grouped into three categories: System Dependencies, Unsupported Implementation,
and Running Time Error. GNU R and Microsoft R Open (MRO) are the only R
implementations that compatibles with geospatial R packages.
A benchmarking R package called altRnative is created to run the benchmarking
across the successful combination. The benchmark result shows that GNU R has a
little bit better performance (1.2x) compared to MRO regardless of the platforms.
Reproducibility self-assessment (https://osf.io/j97zp/): 3, 3, 3, 3, 3 (input
data, preprocessing, methods, computational environment, results).
Descrição
Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
Palavras-chave
R implementation Benchmark System dependencies Docker Sysreqsdb