liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Revealing Structure in Visualizations of Dense 2D and 3D Parallel Coordinates
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9288-5322
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
2006 (English)In: Information Visualization, ISSN 1473-8716, Vol. 5, no 2, 125-136 p.Article in journal (Refereed) Published
Abstract [en]

Parallel coordinates is a well-known technique used for visualization of multivariate data. When the size of the data sets increases the parallel coordinates display results in an image far too cluttered to perceive any structure. We tackle this problem by constructing high-precision textures to represent the data. By using transfer functions that operate on the high-precision textures, it is possible to highlight different aspects of the entire data set or clusters of the data. Our methods are implemented in both standard 2D parallel coordinates and 3D multi-relational parallel coordinates. Furthermore, when visualizing a larger number of clusters, a technique called 'feature animation' may be used as guidance by presenting various cluster statistics. A case study is also performed to illustrate the analysis process when analysing large multivariate data sets using our proposed techniques.

Place, publisher, year, edition, pages
2006. Vol. 5, no 2, 125-136 p.
Keyword [en]
Parallel coordinates, 3D multi-relational parallel coordinates, clustering, transfer function, density map, feature animation
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-13214DOI: 10.1057/palgrave.ivs.9500117OAI: oai:DiVA.org:liu-13214DiVA: diva2:18056
Available from: 2008-05-07 Created: 2008-05-07 Last updated: 2015-05-27
In thesis
1. Efficient Information Visualization of Multivariate and Time-Varying Data
Open this publication in new window or tab >>Efficient Information Visualization of Multivariate and Time-Varying Data
2008 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Data can be found everywhere, for example in the form of price, size, weight and colour of all products sold by a company, or as time series of daily observations of temperature, precipitation, wind and visibility from thousands of stations. Due to their size and complexity it is intrinsically hard to form a global overview and understanding of them. Information visualization aims at overcoming these difficulties by transforming data into representations that can be more easily interpreted.

This thesis presents work on the development of methods to enable efficient information visualization of multivariate and time-varying data sets by conveying information in a clear and interpretable way, and in a reasonable time. The work presented is primarily based on a popular multivariate visualization technique called parallel coordinates but many of the methods can be generalized to apply to other information visualization techniques.

A three-dimensional, multi-relational version of parallel coordinates is presented that enables a simultaneous analysis of all pairwise relationships between a single focus variable and all other variables included in the display. This approach permits a more rapid analysis of highly multivariate data sets. Through a number of user studies the multi-relational parallel coordinates technique has been evaluated against standard, two-dimensional parallel coordinates and been found to better support a number of different types of task.

High precision density maps and transfer functions are presented as a means to reveal structure in large data displayed in parallel coordinates. These two approaches make it possible to interactively analyse arbitrary regions in a parallel coordinates display without risking the loss of significant structure.

Another focus of this thesis relates to the visualization of time-varying, multivariate data. This has been studied both in the specific application area of system identification using volumetric representations, as well as in the general case by the introduction of temporal parallel coordinates.

The methods described in this thesis have all been implemented using modern computer graphics hardware which enables the display and manipulation of very large data sets in real time. A wide range of data sets, both synthetically generated and taken from real applications, have been used to test these methods. It is expected that, as long as the data have multivariate properties, they could be employed efficiently.

Place, publisher, year, edition, pages
Institutionen för teknik och naturvetenskap, 2008
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1191
Keyword
Information visualization, parallel coordinates, interactive analysis, multivariate data, time-varying data, GPU, hardware graphics
National Category
Computer Science
Identifiers
urn:nbn:se:liu:diva-11643 (URN)978-91-7393-878-5 (ISBN)
Public defence
2008-05-30, K3, Kåkenhus, Campus Norrköping, Linköpings universitet, Norrköping, 09:15 (English)
Opponent
Supervisors
Available from: 2008-05-07 Created: 2008-05-07 Last updated: 2010-12-06

Open Access in DiVA

No full text

Other links

Publisher's full textLink to Ph.D. thesis

Authority records BETA

Johansson, JimmyLjung, PatricJern, MikaelCooper, Matthew

Search in DiVA

By author/editor
Johansson, JimmyLjung, PatricJern, MikaelCooper, Matthew
By organisation
Visual Information Technology and Applications (VITA)The Institute of Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 263 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf