Scalable visualization of discrete velocity decompositions using spatially organized histograms

Tyson Neuroth, Franz Sauer, Weixing Wang, Stephane Ethier, Kwan-Liu Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Visualizing the velocity decomposition of a group of objects has applications to many studied data types, such as Lagrangian-based flow data or geospatial movement data. Traditional visualization techniques are often subject to a trade-off between visual clutter and loss of detail, especially in a large scale setting. The use of 2D velocity histograms can alleviate these issues. While they have been used throughout domain specific areas on a basic level, there has been very little work in the visualization community on leveraging them to perform more advanced visualization tasks. In this work, we develop an interactive system which utilizes velocity histograms to visualize the velocity decomposition of a group of objects. In addition, we extend our tool to utilize two schemes for histogram generation: an on-the-fly sampling scheme as well as an in situ scheme to maintain interactivity in extreme scale applications.

Original languageEnglish (US)
Title of host publicationIEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings
EditorsJanine Bennett, Hank Childs, Markus Hadwiger, Hank Childs
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages65-72
Number of pages8
ISBN (Electronic)9781467385176
DOIs
Publication statusPublished - Dec 4 2015
Event5th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2015 - Chicago, United States
Duration: Oct 25 2015Oct 26 2015

Other

Other5th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2015
CountryUnited States
CityChicago
Period10/25/1510/26/15

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Keywords

  • 2D histogram
  • large-scale data
  • movement data
  • particle data
  • velocity decomposition

ASJC Scopus subject areas

  • Communication
  • Computer Networks and Communications
  • Signal Processing

Cite this

Neuroth, T., Sauer, F., Wang, W., Ethier, S., & Ma, K-L. (2015). Scalable visualization of discrete velocity decompositions using spatially organized histograms. In J. Bennett, H. Childs, M. Hadwiger, & H. Childs (Eds.), IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings (pp. 65-72). [7348073] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/LDAV.2015.7348073