Sports Data Visualization [Guest editors' introduction]

Publikationstyp: Zeitschriftenartikel
Publikationsstatus: Published
URI (zitierfähiger Link): http://nbn-resolving.de/urn:nbn:de:bsz:352-2-1di7jkfpu2mfo0
Autor/innen: Basole, Rahul C.; Saupe, Dietmar
Erscheinungsjahr: 2016
Erschienen in: IEEE Computer Graphics and Applications ; 36 (2016), 5. - S. 24-26. - ISSN 0272-1716. - eISSN 1558-1756
DOI (zitierfähiger Link): https://dx.doi.org/10.1109/MCG.2016.85
Zusammenfassung:
For every major sport, analysts can and often do extract large amounts of data, which can be leveraged by media and fans, athletes, and organizations. These efforts are often done in collaboration with leading technology vendors, who also have recognized the tremendous value of sports analytics. The ubiquity, diversity, and relative accessibility of sports data makes it a particularly attractive domain for a range of visualization researchers. Motivated by the significant growth and popularity as well as overall potential of sports data visualization, this special issue gathers state-of-the-art research on this emerging topic.
Fachgebiet (DDC): 004 Informatik
Link zur Lizenz: Nutzungsbedingungen
Universitätsbibliographie: Ja

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BASOLE, Rahul C., Dietmar SAUPE, 2016. Sports Data Visualization [Guest editors' introduction]. In: IEEE Computer Graphics and Applications. 36(5), pp. 24-26. ISSN 0272-1716. eISSN 1558-1756. Available under: doi: 10.1109/MCG.2016.85

@article{Basole2016Sport-37487, title={Sports Data Visualization [Guest editors' introduction]}, year={2016}, doi={10.1109/MCG.2016.85}, number={5}, volume={36}, issn={0272-1716}, journal={IEEE Computer Graphics and Applications}, pages={24--26}, author={Basole, Rahul C. and Saupe, Dietmar} }

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