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Visual classification of Formula One races by events, drivers, and time periods

  • Formula One races provide a wealth of data worth investigating. Although the time-varying data has a clear structure, it is pretty challenging to analyze it for further properties. Here the focus is on a visual classification for events, drivers, as well as time periods. As a first step, the Formula One data is visually encoded based on a line plot visual metaphor reflecting the dynamic lap times, and finally, a classification of the races based on the visual outcomes gained from these line plots is presented. The visualization tool is web-based and provides several interactively linked views on the data; however, it starts with a calendar-based overview representation. To illustrate the usefulness of the approach, the provided Formula One data from several years is visually explored while the races took place in different locations. The chapter discusses algorithmic, visual, and perceptual limitations that might occur during the visual classification of time-series data such as Formula One races.

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Metadaten
Author of HS ReutlingenLampprecht, Tobias; Salb, David; Mauser, Marek; Kloos, Uwe
DOI:https://doi.org/10.4018/978-1-7998-4444-0.ch006
ISBN:978-1-79984-445-7
Erschienen in:Advancement in computer vision applications in intelligent systems and multimedia
Publisher:IGI Global
Place of publication:Hershey, PA
Editor:Muhammad Sarfraz
Document Type:Part of a Book
Language:English
Year of Publication:2020
Page Number:14
First Page:101
Last Page:114
PPN:Im Katalog der Hochschule Reutlingen ansehen
PPN:Im Katalog der Hochschule Reutlingen ansehen
DDC classes:650 Management
Open Access?:Nein