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ConSciR: Tools for Conservation Science
Provides data science tools for conservation science, including
methods for environmental analysis applications, humidity calculations,
sustainability metrics, engineering calculations, and data
visualisation. Supports conservators, scientists, and engineers
working with cultural heritage data.
The package was motivated by the developing tools and frameworks outlined
in Cosaert and Beltran et al. (2022)
"Tools for the Analysis of Collection Environments"
<https://www.getty.edu/conservation/publications_resources/pdf_publications/tools_for_the_analysis_of_collection_environments.html>.
| Version: |
0.2.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
stats, tools, tidyr, readr, readxl, stringr, rlang, shiny, ggplot2, dplyr, lubridate, padr |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0), bslib |
| Published: |
2025-09-10 |
| DOI: |
10.32614/CRAN.package.ConSciR |
| Author: |
Bhavesh Shah 
[aut, cre, cph],
Annelies Cosaert
[aut],
Vincent Beltran [aut],
Emily R Long
[ctb],
Marcin Zygmunt
[ctb] |
| Maintainer: |
Bhavesh Shah <bhaveshshah01 at gmail.com> |
| BugReports: |
https://github.com/BhavShah01/ConSciR/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://bhavshah01.github.io/ConSciR/,
https://github.com/BhavShah01/ConSciR |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
ConSciR results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=ConSciR
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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