stratcols

Stratigraphic columns in R

https://github.com/mindthegap-erc/stratcols

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 5 DOI reference(s) in README
  • Academic publication links
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.0%) to scientific vocabulary

Keywords

geology stratigraphy
Last synced: 9 months ago · JSON representation ·

Repository

Stratigraphic columns in R

Basic Info
Statistics
  • Stars: 2
  • Watchers: 3
  • Forks: 0
  • Open Issues: 1
  • Releases: 1
Topics
geology stratigraphy
Created about 2 years ago · Last pushed 10 months ago
Metadata Files
Readme Changelog License Citation

README.md

stratcols

R-CMD-check

Handling stratigraphic columns and quantifying stratigraphic order in R.

Authors

Niklas Hohmann
Utrecht University
email: n.hohmann [at] uu.nl
Web page: uu.nl/staff/NHohmann
Orcid: 0000-0003-1559-1838

Installation

First, install the remotes package using

R install.packages("remotes")

Then, run

R remotes::install_github(repo = "MindTheGap-ERC/stratcols", ref = "HEAD", dependencies = TRUE, build_vignettes = TRUE)

After installation, you can load the package using

library(stratcols)

Start by reading the vignette, available via

R vignette("stratcols")

License

Apache 2.0, see LICENSE file for details

Copyright

Copyright 2024 Netherlands eScience Center and Utrecht University

Citation

To cite this repository, please use

  • Niklas Hohmann. (2025). MindTheGap-ERC/stratcols: stratcols 1.0.0 (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.16992030

References

The methods are described in detail in

  • Peter M. Burgess; Identifying Ordered Strata: Evidence, Methods, and Meaning. Journal of Sedimentary Research 2016;; 86 (3): 148–167. doi: 10.2110/jsr.2016.10

Funding information

Funded by the European Union (ERC, MindTheGap, StG project no 101041077). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them. European Union and European Research Council logos

Owner

  • Name: MindTheGap-ERC
  • Login: MindTheGap-ERC
  • Kind: organization

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  stratcols: R Package for Stratigraphic Columns and Order
  Metrics
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Niklas
    family-names: Hohmann
    email: N.H.Hohmann@uu.nl
    affiliation: Utrecht University
    orcid: 'https://orcid.org/0000-0003-1559-1838'
identifiers:
  - type: doi
    value: 10.5281/zenodo.16992030
    description: v1.0.0
  - type: doi
    value: 10.5281/zenodo.16992029
    description: latest version
repository-code: 'https://github.com/MindTheGap-ERC/stratcols'
url: 'https://mindthegap-erc.github.io/stratcols/'
abstract: >-
  Quantify stratigraphic disorder using the metrics defined
  by Burgess (2016) <doi:10.2110/jsr.2016.10>. Contains a
  range of utility tools to construct and manipulate
  stratigraphic columns.
keywords:
  - stratigraphy
  - geology
  - markov metric
license: Apache-2.0
version: 1.0.0
date-released: '2025-08-29'

GitHub Events

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  • Pull request event: 2
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Last Year
  • Delete event: 1
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  • Pull request event: 2
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Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: stratcols

Stratigraphic Columns and Order Metrics

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 0 Last month
Rankings
Dependent packages count: 25.6%
Dependent repos count: 31.5%
Average: 47.5%
Downloads: 85.4%
Maintainers (1)
Last synced: 10 months ago