Multivariate cyclical data visualization using radial visual rhythms: A case study in phenology analysis
MetadataShow full item record
Phenology is a traditional science that investigates the periodic phenomena of plants and animals and their relations to environmental conditions. Typically plant phenological studies are based on observations made by phenology experts in the field over time and the correlation with climate data collected by weather sensors. Although within the visualization community several approaches have been proposed for visualizing data that vary over time, many of them have a specific purpose and cannot be applied to phenology studies. Besides that, phenology experts increasingly need tools for managing appropriately long-term time series with many variables of different data types, as well as to identify cyclical temporal patterns. In this work, we propose a novel approach to visualize phenological data by combining radial visual structures along with visual rhythms. Radial visual structures are used to provide contextual insights regarding cyclical phenomena, while the visual rhythm encoding is used to summarize long-term time series into compact representations. We developed, evaluate, and validate our proposal with phenology experts using plant phenology direct observational data both at individuals and species levels.
How to cite this document
Showing items related by title, author, creator and subject.
Brianezi, Gabrielli ; Minicucci, Eliana Maria ; Marques, Mariângela Esther Alencar ; Miot, Hélio Amante (Skin Research and Technology, 2013) [Artigo]Digital techniques have been developed and validated to assess semiquantitatively immunohistochemical nuclear staining. Currently visual classification is the standard for qualitative nuclear evaluation. Analysis of pixels ...
De Oliveira, Maria Cristina Ferreira; Shimabukuro, Milton Hirokazu (Proceedings of SPIE - The International Society for Optical Engineering, 2004) [Trabalho apresentado em evento]Interactive visual representations complement traditional statistical and machine learning techniques for data analysis, allowing users to play a more active role in a knowledge discovery process and making the whole process ...
Comparison of the effects of barbiturate, benzodiazepine and ketamine on visual evoked potentials in rabbits Castro, J. ; Resende, Luan A.L. ; Bertotti, M. F Z ; Fonseca, Ronaldo Guimarães ; Zanchetta, S. ; Schelp, Arthur Oscar (Electromyography and Clinical Neurophysiology, 2005) [Artigo]The aim of this study was to compare the effects of barbiturate, benzodiazepine and ketamine on flash-evoked potentials (F-VEP) in adult rabbits. A total of 36 animals were studied, 16 after pentobarbital endovenous (EV) ...