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dc.contributor.authorWhigham, Peter Aen_NZ
dc.date.available2011-04-07T03:02:05Z
dc.date.copyright2005-11en_NZ
dc.identifier.citationWhigham, P. A. (2005). Keep your eye on the ball: Local versus global statistics in sport visualisation (pp. 137–142). Presented at the 17th Annual Colloquium of the Spatial Information Research Centre (SIRC 2005: A Spatio-temporal Workshop).en
dc.identifier.urihttp://hdl.handle.net/10523/741
dc.description.abstractThis paper describes several simple local space-time statistical measures that can be applied to data that describes ball position over space and time. The main aim is to show that global statistics of rugby union do not describe the most important aspects of team domination, and that other measures may be more meaningful in terms of understanding the overall patterns of play. This paper introduces several measures for describing these local statistics, and shows for one example that they reflect the dominance of one team even though this is not reflected in the half-time score. The main conclusion is that the most important local statistics maintain an explicit spatial representation, and that therefore global measures of behaviour, that have removed the spatial patterns of play, are not appropriate descriptors for rugby union.en_NZ
dc.format.mimetypeapplication/pdf
dc.relation.urihttp://www.business.otago.ac.nz/SIRC05/conferences/2005/16_whigham.pdfen_NZ
dc.subjectvisualisationen_NZ
dc.subjectlocal statisticsen_NZ
dc.subjectball movementen_NZ
dc.subjectspatial patternsen_NZ
dc.subject.lcshQA76 Computer softwareen_NZ
dc.titleKeep your eye on the ball: Local versus global statistics in sport visualisationen_NZ
dc.typeConference or Workshop Item (Paper)en_NZ
dc.description.versionPublisheden_NZ
otago.date.accession2006-08-15en_NZ
otago.relation.pages137-142en_NZ
otago.openaccessOpen
dc.identifier.eprints359en_NZ
dc.description.refereedNon Peer Revieweden_NZ
otago.school.eprintsSpatial Information Research Centreen_NZ
otago.school.eprintsInformation Scienceen_NZ
dc.description.referencesDixon, M. (1998). “A birth process model for association football matches” The Statistician. 47(3): 523–538. Fujimura, A. & Sugihara, K. (2005). “Geometric analysis and quantitative evaluation of sport teamwork” Systems and Computers in Japan. 36(6): 49–58. Grubb, H. (1998). “Models for comparing athletic performances” The Statistician. 47(3): 509–521. Pingali, G., Opalach, A., Jean, Y. & Carlbom, I. (2001). “Visualization of Sports using Motion Trajectories: Providing insights into performance, style and strategy” 12th Annual IEEE Visualization Conference (Vis ’2001). San Diego, California, USA. Whigham, P. (2000). “Spatio-temporal modelling using video input” In P. Whigham (ed.), Proceedings of the 12th Annual colloquium of the Spatial Information Research Centre. Otago University Press Dunedin, New Zealand pp. 165–179.en_NZ
otago.event.dates24-25 November 2005en_NZ
otago.event.placeDunedin, New Zealanden_NZ
otago.event.typeconferenceen_NZ
otago.event.title17th Annual Colloquium of the Spatial Information Research Centre (SIRC 2005: A Spatio-temporal Workshop)en_NZ
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