State of the Art of Sports Data Visualization

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dc.contributor.authorPerin, Charlesen_US
dc.contributor.authorVuillemot, Romainen_US
dc.contributor.authorStolper, Charles D.en_US
dc.contributor.authorStasko, John T.en_US
dc.contributor.authorWood, Joen_US
dc.contributor.authorCarpendale, Sheelaghen_US
dc.contributor.editorRobert S. Laramee and G. Elisabeta Marai and Michael Sedlmairen_US
dc.date.accessioned2018-06-02T17:52:03Z
dc.date.available2018-06-02T17:52:03Z
dc.date.issued2018
dc.description.abstractIn this report, we organize and reflect on recent advances and challenges in the field of sports data visualization. The exponentially-growing body of visualization research based on sports data is a prime indication of the importance and timeliness of this report. Sports data visualization research encompasses the breadth of visualization tasks and goals: exploring the design of new visualization techniques; adapting existing visualizations to a novel domain; and conducting design studies and evaluations in close collaboration with experts, including practitioners, enthusiasts, and journalists. Frequently this research has impact beyond sports in both academia and in industry because it is i) grounded in realistic, highly heterogeneous data, ii) applied to real-world problems, and iii) designed in close collaboration with domain experts. In this report, we analyze current research contributions through the lens of three categories of sports data: box score data (data containing statistical summaries of a sport event such as a game), tracking data (data about in-game actions and trajectories), and meta-data (data about the sport and its participants but not necessarily a given game). We conclude this report with a high-level discussion of sports visualization research informed by our analysis—-identifying critical research gaps and valuable opportunities for the visualization community. More information is available at the STAR's website: https://sportsdataviz.github.io/.en_US
dc.description.documenttypestar
dc.description.number3
dc.description.sectionheadersSports Visualization
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume37
dc.identifier.doi10.1111/cgf.13447
dc.identifier.issn1467-8659
dc.identifier.pages663-686
dc.identifier.urihttps://doi.org/10.1111/cgf.13447
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13447
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.titleState of the Art of Sports Data Visualizationen_US
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