TY  - CHAP
U1  - Buchbeitrag
A1  - Lampprecht, Tobias
A1  - Salb, David
A1  - Mauser, Marek
A1  - Wetering, Huub van de
A1  - Burch, Michael
A1  - Kloos, Uwe
ED  - Sarfraz, Muhammad
T1  - Visual classification of Formula One races by events, drivers, and time periods
T2  - Advancement in computer vision applications in intelligent systems and multimedia
N2  - 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.
Y1  - 2020
SN  - 978-1-79984-445-7
SB  - 978-1-79984-445-7
U6  - https://doi.org/10.4018/978-1-7998-4444-0.ch006
DO  - https://doi.org/10.4018/978-1-7998-4444-0.ch006
SP  - 101
EP  - 114
S1  - 14
PB  - IGI Global
CY  - Hershey, PA
ER  -