Articles | Volume 10, issue 1
https://doi.org/10.5194/se-10-329-2019
https://doi.org/10.5194/se-10-329-2019
Research article
 | 
15 Feb 2019
Research article |  | 15 Feb 2019

Precision of continuous GPS velocities from statistical analysis of synthetic time series

Christine Masson, Stephane Mazzotti, and Philippe Vernant

Viewed

Total article views: 2,756 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,754 929 73 2,756 175 85 75
  • HTML: 1,754
  • PDF: 929
  • XML: 73
  • Total: 2,756
  • Supplement: 175
  • BibTeX: 85
  • EndNote: 75
Views and downloads (calculated since 04 Sep 2018)
Cumulative views and downloads (calculated since 04 Sep 2018)

Viewed (geographical distribution)

Total article views: 2,756 (including HTML, PDF, and XML) Thereof 2,319 with geography defined and 437 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Discussed (final revised paper)

Discussed (preprint)

Latest update: 05 Dec 2023
Download
Short summary
We use statistical analyses of synthetic position time series to estimate the potential precision of GPS velocities. Regression tree analyses show that the main factors controlling the velocity precision are the duration of the series, the presence of offsets, and the noise. Our analysis allows us to propose guidelines which can be applied to actual GPS data that constrain the velocity accuracies.