Phenology studies the periodic phenomena of plants and their relationship to environmental conditions, which is crucial for accessing the impact on vegetation and ecosystem processes. In this paper entitled “PhenoVis – A tool for visual phenological analysis of digital camera images using chronological percentage maps“, the authors introduce PhenoVis, a visual analytics tool that aims at providing insightful ways to analyze phenological data. The main idea behind PhenoVis is the creation of more expressive visual encodings for phenological data visualization. It contains the chronological percentage maps (CPM), a novel representation that is capable of discovering additional patterns by encoding percentage distributions of the data.
Roger A. Leite, Lucas Mello Schnorr, Jurandy Almeida, Bruna Alberton, Leonor Patricia C. Morellato, Ricardo da S. Torres, João L.D. Comba, PhenoVis – A tool for visual phenological analysis of digital camera images using chronological percentage maps, Information Sciences, Volume 372, 1 December 2016, Pages 181-195, ISSN 0020-0255, DOI: 10.1016/j.ins.2016.08.052.