pavo is an
R package developed with the goal of establishing 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 visualisation and analysis. It provides flexible ways to input spectral data from a variety of equipment manufacturers, process these data, extract variables, and produce publication-quality figures.
pavo was written with the following workflow in mind:
A comprehensive tutorial to get you started with pavo is available in the pavo handbook. In this book, we begin by detailing the importing, processing and visualisation of spectral and image data, before moving on to discussion of the flexible analyses of such data that
pavo allows. Our hope is to demonstrate the flexibility of
pavo, and to provide a cohesive, reproducible workflow for colour pattern analysis within
R. As always, the development version of
pavo can be found on github, while the stable release is available via CRAN.