![]() We demonstrate how both colour vision models and direct spectral measurement analysis can be used to describe colour attributes and differences between these species. * As an example of pavo's capabilities, we compare the colour patterns of three African glossy starling species, two of which have diverged very recently. We also present an exact solution for the calculation of colour volume overlap in colourspace, thus expanding previously published methodologies. * In this paper, we present a summary of the functions implemented in pavo and how they integrate in a workflow to explore and analyse spectral data. pavo is highly flexible, allowing users to (a) organize and manipulate data from a variety of sources, (b) visualize data using R's state-of-the-art graphics capabilities and (c) analyse data using spectral curve shape properties and visual system modelling for a broad range of taxa. We introduce pavo, an R package that facilitates the organization, visualization and analysis of spectral data in a cohesive framework. * Despite this growing interest, a unified cross-platform framework for analysing and visualizing spectral data has not been available. * Recent technical and methodological advances have led to a dramatic increase in the use of spectrometry to quantify reflectance properties of biological materials, as well as models to determine how these colours are perceived by animals, providing important insights into ecological and evolutionary aspects of animal visual communication.
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