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
Author: Bhavesh Shah ORCID iD [aut, cre, cph], Annelies Cosaert ORCID iD [aut], Vincent Beltran [aut], Emily R Long ORCID iD [ctb], Marcin Zygmunt ORCID iD [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:

Reference manual: ConSciR.html , ConSciR.pdf
Vignettes: ConSciR (source, R code)

Downloads:

Package source: ConSciR_0.2.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): ConSciR_0.2.0.tgz, r-oldrel (arm64): ConSciR_0.2.0.tgz, r-release (x86_64): ConSciR_0.2.0.tgz, r-oldrel (x86_64): ConSciR_0.2.0.tgz

Linking:

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