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:
The manuscript describing the current iteration of the package has been published and are free to access:
Maia R., Gruson H., Endler J.A., and White T.E. 2019 pavo 2: New tools for the spectral and spatial analysis of colour in R. Methods in Ecology and Evolution, 10(7):1097‑1107.
This is the development page for
pavo. The stable release is available from CRAN. Simply use
install.packages("pavo") to install.
If you want to install the bleeding edge version of
pavo, you can:
# install.packages("remotes") remotes::install_github("rmaia/pavo")
$R CMD INSTALLor, from within R:
install.packages(path, type = "source", repos = NULL)