colRverse R packages for analysing colour in nature


Organization, visualise, and analyse spectral and spatial colour data

pavo offers a flexible and integrated workflow for working with spectral and spatial colour data. It includes functions that take advantage of new data classes to work seamlessly from importing raw spectra and images, to publication-quality visualisations, and analyses via a suite of analytical methods and visual models.
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Install: install.packages('pavo')

Cite: Maia R, Gruson H, Endler JA, White TE (2019) pavo 2: new tools for the spectral and spatial analysis of colour in R. Methods in Ecology and Evolution 10, 1097-1107.


Import spectral data and metadata

lightr offers a unified, user-friendly interface for reading UV-VIS reflectance, transmittance, and/or absorbance spectral files and associated metadata from a suite of proprietary (and generally unfriendly) file formats, across all systems.
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Install: install.packages('lightr')

Cite: Gruson H, White TE, Maia R (2019) lightr: import spectral data and metadata in R. Journal of Open Source Software.