ethnobotanyR: Ethnobotanical Analysis, Decision-Framing, and TEK Modeling

Tools for quantifying Traditional Ecological Knowledge (TEK), modeling TEK in decision frameworks, and designing structured decision-framing exercises in conservation and development contexts. The package implements quantitative ethnobotany indices (Use Value, Relative Frequency of Citation, etc.) but positions them within a larger framework of Bayesian modeling and participatory decision analysis. Includes critical assessment of indices' limitations and case studies of participatory workshops.

Version: 0.2.0
Depends: R (≥ 3.2.0)
Imports: circlize, cowplot, dplyr, ggalluvial, ggplot2, ggridges, reshape2, magrittr
Suggests: broom, knitr, rmarkdown, tidyr, stringr, purrr, tibble, vegan, bnlearn, causaleffect, gRain, pbapply, tidyselect, tidyverse
Published: 2026-02-25
DOI: 10.32614/CRAN.package.ethnobotanyR
Author: Cory Whitney [aut, cre]
Maintainer: Cory Whitney <whitney.cory at gmail.com>
BugReports: https://github.com/CWWhitney/ethnobotanyR/issues
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://CRAN.R-project.org/package=ethnobotanyR
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: ethnobotanyR results

Documentation:

Reference manual: ethnobotanyR.html , ethnobotanyR.pdf
Vignettes: TEK-based decision models (source, R code)
Benin Fonio Case Study (source)
Decision-Framing Framework and Ethnobotany (source)
Modeling with ethnobotanyR (source, R code)
ethnobotanyR for Decision-Framing (source, R code)
Quantitative ethnobotany analysis with ethnobotanyR (source, R code)
Honest Ethnobotany: Quantitative Indices (source, R code)

Downloads:

Package source: ethnobotanyR_0.2.0.tar.gz
Windows binaries: r-devel: ethnobotanyR_0.1.9.zip, r-release: ethnobotanyR_0.1.9.zip, r-oldrel: ethnobotanyR_0.1.9.zip
macOS binaries: r-release (arm64): ethnobotanyR_0.2.0.tgz, r-oldrel (arm64): ethnobotanyR_0.2.0.tgz, r-release (x86_64): ethnobotanyR_0.1.9.tgz, r-oldrel (x86_64): ethnobotanyR_0.1.9.tgz
Old sources: ethnobotanyR archive

Linking:

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