STRAD Wheel: Web-Based Library for Visualizing Temporal Data

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dc.contributor.authorDiana Fernondez-Prieto
dc.contributor.authorCarol Naranjo-Valero
dc.contributor.authorJosé Tiberio Hernández
dc.contributor.authorHans Hagen
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T17:38:39Z
dc.date.available2026-03-22T17:38:39Z
dc.date.issued2017
dc.description.abstractRecent advances in web development, including the introduction of HTML5, have opened a door for visualization researchers and developers to quickly access larger audiences worldwide. Open source libraries for the creation of interactive visualizations are becoming more specialized but also modular, which makes them easy to incorporate in domain-specific applications. In this context, the authors developed STRAD (Spatio-Temporal-Radar) Wheel, a web-based library that focuses on the visualization and interactive query of temporal data in a compact view with multiple temporal granularities. This article includes two application examples in urban planning to help illustrate the proposed visualization's use in practice.
dc.identifier.doi10.1109/mcg.2017.27
dc.identifier.urihttps://doi.org/10.1109/mcg.2017.27
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/65394
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.ispartofIEEE Computer Graphics and Applications
dc.sourceGerman Research Centre for Artificial Intelligence
dc.subjectComputer science
dc.subjectVisualization
dc.subjectHTML5
dc.subjectWorld Wide Web
dc.subjectModular design
dc.subjectContext (archaeology)
dc.subjectData visualization
dc.subjectDomain (mathematical analysis)
dc.subjectInformation visualization
dc.subjectData science
dc.titleSTRAD Wheel: Web-Based Library for Visualizing Temporal Data
dc.typearticle

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