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Correction: Characterization of Course and Terrain and Their Effect on Skier Speed in World Cup Alpine Ski Racing

  • Matthias Gilgien,
  • Philip Crivelli,
  • Jörg Spörri,
  • Josef Kröll,
  • Erich Müller

Correction: Characterization of Course and Terrain and Their Effect on Skier Speed in World Cup Alpine Ski Racing

  • Matthias Gilgien, 
  • Philip Crivelli, 
  • Jörg Spörri, 
  • Josef Kröll, 
  • Erich Müller
PLOS
x

There is an error in Fig 4. The angles are incorrectly labeled. Please see the corrected Fig 4 here.

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Fig 4. Illustration of the parameters describing the relationship between terrain and course setting: Terrain inclination in course direction (α), Angle between course direction and the gradient (β) and terrain inclination normal to course direction (γ).

https://doi.org/10.1371/journal.pone.0128899.g001

There is an error in the caption for Fig 16. Please see the complete, correct Fig 16 caption here.

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Fig 16. A scatterplot showing the terrain inclination versus skier speed for 1051 turns (GS: 572, SG: 210, DH: 271).

The GS data is plotted in red, the SG data is plotted in green and the DH data is plotted in blue. The black line shows a linear regression model for the data of all disciplines.

https://doi.org/10.1371/journal.pone.0128899.g002

There is an error in the caption for Fig 17. Please see the complete, correct Fig 17 caption here.

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Fig 17. A scatterplot showing the horizontal gate distance versus skier speed for 1051 turns (GS: 572, SG: 210, DH: 271).

The GS data is plotted in red, the SG data is plotted in green and the DH data is plotted in blue. The black line shows a linear regression model for the data of all disciplines.

https://doi.org/10.1371/journal.pone.0128899.g003

There is an error in the caption for Fig 18. Please see the complete, correct Fig 18 caption here.

thumbnail
Fig 18. A scatterplot showing gate distance versus skier speed for 1051 turns (GS: 572, SG: 210, DH: 271).

The GS data is plotted in red, the SG data is plotted in green and the DH data is plotted in blue. The black line shows a linear regression model for the data of all disciplines.

https://doi.org/10.1371/journal.pone.0128899.g004

Reference

  1. 1. Gilgien M, Crivelli P, Spörri J, Kröll J, Müller E (2015) Characterization of Course and Terrain and Their Effect on Skier Speed in World Cup Alpine Ski Racing. PLoS ONE 10(3): e0118119. pmid:25760039