The R Journal: article published in 2021, volume 13:2

StratigrapheR: Concepts for Litholog Generation in R
Sébastien Wouters, Anne-Christine Da Silva, Frédéric Boulvain and Xavier Devleeschouwer , The R Journal (2021) 13:2, pages 153-178.

Abstract 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.

Received: 2020-06-03; online 2021-06-07, supplementary material, (5.1 KiB)
CRAN packages: StratigrapheR, SDAR, paleotree, IsoplotR, hht, astrochron, biwavelet, DecomposeR, xlsx, dplyr, lattice, ggplot2, grImport, rmarkdown, knitr
CRAN Task Views implied by cited CRAN packages: Phylogenetics, ReproducibleResearch, TimeSeries, Databases, ModelDeployment, Multivariate, TeachingStatistics

This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2021-039,
  author = {Sébastien Wouters and Anne-Christine Da Silva and Frédéric
          Boulvain and Xavier Devleeschouwer},
  title = {{StratigrapheR: Concepts for Litholog Generation in R}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-039},
  url = {https://doi.org/10.32614/RJ-2021-039},
  pages = {153--178},
  volume = {13},
  number = {2}
}