Visual analysis of Formula one races

Tobias Lampprecht; David Salb; Marek Mauser; Huub van de Wetering; Michael Burch; Uwe Kloos

doi:10.1109/IV.2019.00025

Visual analysis of Formula one races

Tobias Lampprecht, David Salb, Marek Mauser, Huub van de Wetering, Michael Burch, Uwe Kloos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

3 Downloads (Pure)

Abstract

In this paper we describe an interactive web-based visual analysis tool for Formula one races. It first provides an overview about all races on a yearly basis in a calendar-like representation. From this starting point, races can be selected and visually inspected in detail. We support a dynamic race position diagram as well as a more detailed lap times line plot for showing the drivers' lap times in comparison. Many interaction techniques are supported like selections, filtering, highlighting, color coding, or details-on-demand. We illustrate the usefulness of our visualization tool by applying it to a Formula one dataset while we describe the different dynamic visual racing patterns for a number of selected races and drivers.

Original language	English
Title of host publication	Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging, IV 2019
Editors	Ebad Banissi, Anna Ursyn, Mark W. McK. Bannatyne, Nuno Datia, Joao Moura Pires, Rita Francese, Muhammad Sarfraz, Theodor G Wyeld, Fatma Bouali, Gilles Venturin, Hanane Azzag, Mustapha Lebbah, Marjan Trutschl, Urska Cvek, Heimo Muller, Minoru Nakayama, Sebastian Kernbach, Loredana Caruccio, Michele Risi, Ugo Erra, Autilia Vitiello, Veronica Rossano
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	94-99
Number of pages	6
ISBN (Electronic)	978-1-7281-2838-2
DOIs	https://doi.org/10.1109/IV.2019.00025
Publication status	Published - 1 Jul 2019
Event	23rd International Conference on Information Visualisation - Biomedical Visualization and Geometric Modelling and Imaging, IV 2019 - Paris, France Duration: 2 Jul 2019 → 5 Jul 2019

Conference

Conference	23rd International Conference on Information Visualisation - Biomedical Visualization and Geometric Modelling and Imaging, IV 2019
Country/Territory	France
City	Paris
Period	2/07/19 → 5/07/19

Keywords

calendar based visualization
Formula one data
time-series data
calendar-based visualization

Access to Document

10.1109/IV.2019.00025

Cite this

Lampprecht, T., Salb, D., Mauser, M., van de Wetering, H., Burch, M., & Kloos, U. (2019). Visual analysis of Formula one races. In E. Banissi, A. Ursyn, M. W. McK. Bannatyne, N. Datia, J. M. Pires, R. Francese, M. Sarfraz, T. G. Wyeld, F. Bouali, G. Venturin, H. Azzag, M. Lebbah, M. Trutschl, U. Cvek, H. Muller, M. Nakayama, S. Kernbach, L. Caruccio, M. Risi, U. Erra, A. Vitiello, ... V. Rossano (Eds.), Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging, IV 2019 (pp. 94-99). Article 8812065 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IV.2019.00025

Lampprecht, Tobias ; Salb, David ; Mauser, Marek et al. / Visual analysis of Formula one races. Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging, IV 2019. editor / Ebad Banissi ; Anna Ursyn ; Mark W. McK. Bannatyne ; Nuno Datia ; Joao Moura Pires ; Rita Francese ; Muhammad Sarfraz ; Theodor G Wyeld ; Fatma Bouali ; Gilles Venturin ; Hanane Azzag ; Mustapha Lebbah ; Marjan Trutschl ; Urska Cvek ; Heimo Muller ; Minoru Nakayama ; Sebastian Kernbach ; Loredana Caruccio ; Michele Risi ; Ugo Erra ; Autilia Vitiello ; Veronica Rossano. Piscataway : Institute of Electrical and Electronics Engineers, 2019. pp. 94-99

@inproceedings{3685a09b9e8e414782ae3608e43afd60,

title = "Visual analysis of Formula one races",

abstract = "In this paper we describe an interactive web-based visual analysis tool for Formula one races. It first provides an overview about all races on a yearly basis in a calendar-like representation. From this starting point, races can be selected and visually inspected in detail. We support a dynamic race position diagram as well as a more detailed lap times line plot for showing the drivers' lap times in comparison. Many interaction techniques are supported like selections, filtering, highlighting, color coding, or details-on-demand. We illustrate the usefulness of our visualization tool by applying it to a Formula one dataset while we describe the different dynamic visual racing patterns for a number of selected races and drivers.",

keywords = "calendar based visualization, Formula one data, time-series data, calendar-based visualization",

author = "Tobias Lampprecht and David Salb and Marek Mauser and {van de Wetering}, Huub and Michael Burch and Uwe Kloos",

year = "2019",

month = jul,

day = "1",

doi = "10.1109/IV.2019.00025",

language = "English",

pages = "94--99",

editor = "Ebad Banissi and Anna Ursyn and {McK. Bannatyne}, {Mark W.} and Nuno Datia and Pires, {Joao Moura} and Rita Francese and Muhammad Sarfraz and Wyeld, {Theodor G} and Fatma Bouali and Gilles Venturin and Hanane Azzag and Mustapha Lebbah and Marjan Trutschl and Urska Cvek and Heimo Muller and Minoru Nakayama and Sebastian Kernbach and Loredana Caruccio and Michele Risi and Ugo Erra and Autilia Vitiello and Veronica Rossano",

booktitle = "Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging, IV 2019",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "23rd International Conference on Information Visualisation - Biomedical Visualization and Geometric Modelling and Imaging, IV 2019 ; Conference date: 02-07-2019 Through 05-07-2019",

}

Lampprecht, T, Salb, D, Mauser, M, van de Wetering, H, Burch, M & Kloos, U 2019, Visual analysis of Formula one races. in E Banissi, A Ursyn, MW McK. Bannatyne, N Datia, JM Pires, R Francese, M Sarfraz, TG Wyeld, F Bouali, G Venturin, H Azzag, M Lebbah, M Trutschl, U Cvek, H Muller, M Nakayama, S Kernbach, L Caruccio, M Risi, U Erra, A Vitiello & V Rossano (eds), Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging, IV 2019., 8812065, Institute of Electrical and Electronics Engineers, Piscataway, pp. 94-99, 23rd International Conference on Information Visualisation - Biomedical Visualization and Geometric Modelling and Imaging, IV 2019, Paris, France, 2/07/19. https://doi.org/10.1109/IV.2019.00025

Visual analysis of Formula one races. / Lampprecht, Tobias; Salb, David; Mauser, Marek et al.
Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging, IV 2019. ed. / Ebad Banissi; Anna Ursyn; Mark W. McK. Bannatyne; Nuno Datia; Joao Moura Pires; Rita Francese; Muhammad Sarfraz; Theodor G Wyeld; Fatma Bouali; Gilles Venturin; Hanane Azzag; Mustapha Lebbah; Marjan Trutschl; Urska Cvek; Heimo Muller; Minoru Nakayama; Sebastian Kernbach; Loredana Caruccio; Michele Risi; Ugo Erra; Autilia Vitiello; Veronica Rossano. Piscataway: Institute of Electrical and Electronics Engineers, 2019. p. 94-99 8812065.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Visual analysis of Formula one races

AU - Lampprecht, Tobias

AU - Salb, David

AU - Mauser, Marek

AU - van de Wetering, Huub

AU - Burch, Michael

AU - Kloos, Uwe

PY - 2019/7/1

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N2 - In this paper we describe an interactive web-based visual analysis tool for Formula one races. It first provides an overview about all races on a yearly basis in a calendar-like representation. From this starting point, races can be selected and visually inspected in detail. We support a dynamic race position diagram as well as a more detailed lap times line plot for showing the drivers' lap times in comparison. Many interaction techniques are supported like selections, filtering, highlighting, color coding, or details-on-demand. We illustrate the usefulness of our visualization tool by applying it to a Formula one dataset while we describe the different dynamic visual racing patterns for a number of selected races and drivers.

AB - In this paper we describe an interactive web-based visual analysis tool for Formula one races. It first provides an overview about all races on a yearly basis in a calendar-like representation. From this starting point, races can be selected and visually inspected in detail. We support a dynamic race position diagram as well as a more detailed lap times line plot for showing the drivers' lap times in comparison. Many interaction techniques are supported like selections, filtering, highlighting, color coding, or details-on-demand. We illustrate the usefulness of our visualization tool by applying it to a Formula one dataset while we describe the different dynamic visual racing patterns for a number of selected races and drivers.

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KW - time-series data

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BT - Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging, IV 2019

A2 - Banissi, Ebad

A2 - Ursyn, Anna

A2 - McK. Bannatyne, Mark W.

A2 - Datia, Nuno

A2 - Pires, Joao Moura

A2 - Francese, Rita

A2 - Sarfraz, Muhammad

A2 - Wyeld, Theodor G

A2 - Bouali, Fatma

A2 - Venturin, Gilles

A2 - Azzag, Hanane

A2 - Lebbah, Mustapha

A2 - Trutschl, Marjan

A2 - Cvek, Urska

A2 - Muller, Heimo

A2 - Nakayama, Minoru

A2 - Kernbach, Sebastian

A2 - Caruccio, Loredana

A2 - Risi, Michele

A2 - Erra, Ugo

A2 - Vitiello, Autilia

A2 - Rossano, Veronica

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 23rd International Conference on Information Visualisation - Biomedical Visualization and Geometric Modelling and Imaging, IV 2019

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Lampprecht T, Salb D, Mauser M, van de Wetering H, Burch M, Kloos U. Visual analysis of Formula one races. In Banissi E, Ursyn A, McK. Bannatyne MW, Datia N, Pires JM, Francese R, Sarfraz M, Wyeld TG, Bouali F, Venturin G, Azzag H, Lebbah M, Trutschl M, Cvek U, Muller H, Nakayama M, Kernbach S, Caruccio L, Risi M, Erra U, Vitiello A, Rossano V, editors, Information Visualization - Biomedical Visualization and Geometric Modelling and Imaging, IV 2019. Piscataway: Institute of Electrical and Electronics Engineers. 2019. p. 94-99. 8812065 doi: 10.1109/IV.2019.00025

Visual analysis of Formula one races

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