Provides data science tools for conservation science, including
methods for environmental data analysis, humidity calculations,
sustainability metrics, engineering calculations, and data
visualisation. Supports conservators, scientists, and engineers
working with cultural heritage preventive conservation data.
The package is motivated by the framework 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: |
0.3.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
stats, tools, tidyr, readr, readxl, stringr, rlang, shiny, ggplot2, dplyr, lubridate, padr, openair |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0), bslib, IAPWS95, Ternary |
| Published: |
2025-09-22 |
| Author: |
Bhavesh Shah 
[aut, cre, cph],
Annelies Cosaert
[aut],
Vincent Beltran [aut],
Emily R Long
[ctb],
Marcin Zygmunt
[ctb],
Hebe Halstead [ctb],
Avery Bazemore
[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 |