Compositional data consisting of three-parts can be color mapped with a ternary color scale. Such a scale is provided by the tricolore packages with options for discrete and continuous colors, mean-centering and scaling. See Jonas Schöley (2021) "The centered ternary balance scheme. A technique to visualize surfaces of unbalanced three-part compositions" <doi:10.4054/DemRes.2021.44.19>, Jonas Schöley, Frans Willekens (2017) "Visualizing compositional data on the Lexis surface" <doi:10.4054/DemRes.2017.36.21>, and Ilya Kashnitsky, Jonas Schöley (2018) "Regional population structures at a glance" <doi:10.1016/S0140-6736(18)31194-2>.
| Version: | 1.2.6 |
| Depends: | R (≥ 4.0) |
| Imports: | grDevices, ggplot2 (≥ 4.0.0), ggtern (≥ 4.0.0), rlang (≥ 1.1.0), shiny, assertthat |
| Suggests: | testthat, knitr, rmarkdown, sf, leaflet, httpuv, dplyr |
| Published: | 2025-12-02 |
| DOI: | 10.32614/CRAN.package.tricolore |
| Author: | Jonas Schöley |
| Maintainer: | Jonas Schöley <jschoeley at gmail.com> |
| License: | GPL-3 |
| URL: | https://github.com/jschoeley/tricolore |
| NeedsCompilation: | no |
| Citation: | tricolore citation info |
| Materials: | NEWS |
| CRAN checks: | tricolore results |
| Reference manual: | tricolore.html , tricolore.pdf |
| Vignettes: |
Choropleth maps with tricolore (source, R code) |
| Package source: | tricolore_1.2.6.tar.gz |
| Windows binaries: | r-devel: tricolore_1.2.6.zip, r-release: tricolore_1.2.6.zip, r-oldrel: tricolore_1.2.6.zip |
| macOS binaries: | r-release (arm64): tricolore_1.2.6.tgz, r-oldrel (arm64): tricolore_1.2.6.tgz, r-release (x86_64): tricolore_1.2.6.tgz, r-oldrel (x86_64): tricolore_1.2.6.tgz |
| Old sources: | tricolore archive |
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