StratigrapheR: Concepts for Litholog Generation in R

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.

Sébastien Wouters , Anne-Christine Da Silva , Frédéric Boulvain , Xavier Devleeschouwer

CRAN packages used

StratigrapheR, SDAR, paleotree, IsoplotR, hht, astrochron, biwavelet, DecomposeR, xlsx, dplyr, lattice, ggplot2, grImport, rmarkdown, knitr

CRAN Task Views implied by cited packages

Phylogenetics, ReproducibleResearch, TimeSeries, Databases, ModelDeployment, Multivariate, TeachingStatistics


Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".


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

  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 = {},
  doi = {10.32614/RJ-2021-039},
  volume = {13},
  issue = {2},
  issn = {2073-4859},
  pages = {153-178}