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dc.contributor.authorDíaz, Joseen_US
dc.contributor.authorFort, Martaen_US
dc.contributor.authorVázquez, Pere-Pauen_US
dc.contributor.editorBorgo, Rita and Marai, G. Elisabeta and Landesberger, Tatiana vonen_US
dc.date.accessioned2021-06-12T11:02:45Z
dc.date.available2021-06-12T11:02:45Z
dc.date.issued2021
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.14327
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14327
dc.description.abstractThere are many multiple-stage racing competitions in various sports such as swimming, running, or cycling. The wide availability of affordable tracking devices facilitates monitoring the position along with the race of all participants, even for non-professional contests. Getting real-time information of contenders is useful but also unleashes the possibility of creating more complex visualization systems that ease the understanding of the behavior of all participants during a simple stage or throughout the whole competition. In this paper we focus on bicycle races, which are highly popular, especially in Europe, being the Tour de France its greatest exponent. Current visualizations from TV broadcasting or real-time tracking websites are useful to understand the current stage status, up to a certain extent. Unfortunately, still no current system exists that visualizes a whole multi-stage contest in such a way that users can interactively explore the relevant events of a single stage (e.g. breakaways, groups, virtual leadership: : :), as well as the full competition. In this paper, we present an interactive system that is useful both for aficionados and professionals to visually analyze the development of multi-stage cycling competitions.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectHuman centered computing
dc.subjectVisualization systems and tools
dc.subjectVisual analytics
dc.titleTourVis: Narrative Visualization of Multi-Stage Bicycle Racesen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersTemporal Data and Animation
dc.description.volume40
dc.description.number3
dc.identifier.doi10.1111/cgf.14327
dc.identifier.pages531-542


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  • 40-Issue 3
    EuroVis 2021 - Conference Proceedings

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