The StratigrapheR package proposes new concepts for the generation of lithological logs, or lithologs, in R. The generation of lithologs in a scripting environment opens new opportunities for the processing and analysis of stratified geological data. Among the new concepts presented: new plotting and data processing methodologies, new general R functions, and computer-oriented data conventions are provided. The package structure allows for these new concepts to be further improved, which can be done independently by any R user. The current limitations of the package are highlighted, along with the limitations in R for geological data processing, to help identify the best paths for improvements.
StratigrapheR, SDAR, paleotree, IsoplotR, hht, astrochron, biwavelet, DecomposeR, xlsx, dplyr, lattice, ggplot2, grImport, rmarkdown, knitr
Phylogenetics, ReproducibleResearch, TimeSeries, Databases, ModelDeployment, Multivariate, TeachingStatistics
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For attribution, please cite this work as
Wouters, et al., "The R Journal: StratigrapheR: Concepts for Litholog Generation in R ", The R Journal, 2021
BibTeX citation
@article{RJ-2021-039,
author = {Wouters, Sébastien and Silva, Anne-Christine Da and Boulvain, Frédéric and Devleeschouwer, Xavier},
title = {The R Journal: StratigrapheR: Concepts for Litholog Generation in R },
journal = {The R Journal},
year = {2021},
note = {https://doi.org/10.32614/RJ-2021-039},
doi = {10.32614/RJ-2021-039},
volume = {13},
issue = {2},
issn = {2073-4859},
pages = {153-178}
}