pavo 2: New tools for the spectral and spatial analysis of colour in r
Columbia University · Centre National de la Recherche Scientifique · +6 more institutions
Abstract
Abstract Biological coloration presents a canvas for the study of ecological and evolutionary processes. Enduring interest in colour‐based phenotypes has driven, and been driven by, improved techniques for quantifying colour patterns in ever‐more relevant ways, yet the need for flexible, open frameworks for data processing and analysis persists. Here we introduce pavo 2 , the latest iteration of the r package pavo . This release represents the extensive refinement and expansion of existing methods, as well as a suite of new tools for the cohesive analysis of the spectral and (now) spatial structure of colour patterns and perception. At its core, the package retains a broad focus on (a) the organization and…
Citation impact
- FWCI
- 83.83
- Percentile
- 100%
- References
- 52
Authors
4- RMRafael Maia
Columbia University
- HGHugo Gruson
Centre National de la Recherche Scientifique, École Pratique des Hautes Études, Université Paul-Valéry Montpellier, Centre d'Écologie Fonctionnelle et Évolutive, Institut de Recherche pour le Développement
- JAJohn A. Endler
Deakin University
- TEThomas E. WhiteCorresponding
The University of Sydney
Topics & keywords
- Computer science
- Visualization
- Adjacency list
- Workflow
- Focus (optics)
- Artificial intelligence
- Life in Land