Interactive Exploration of Ingredient Mixtures Using Multiple Coordinated Views
2009 (English)In: Proceedings Information Visualization, IV 2009, Los Alamitos, CA, USA: IEEE Computer Society, 2009, 210-218 p.Conference paper (Refereed)
The complex nature of multivariate data sets calls forhigh interactive performance and intuitive metaphors. Aspecific type of multivariate data is where the variables sum up to a constant, here defined as multicomponent data.This application paper presents an interactive applicationfor analysis of modelled multicomponent data. The aim isto find high performance variable combinations that fulfil some requested properties. The application is basedon coordinated views that include parallel coordinates, a ternary diagram, a 2D scatter plot and a line plot. It supports numerous interaction techniques enabling fast analysisof complex patterns in multicomponent data sets. The application is developed in collaboration with researchers within the fields of statistics and chemistry. An informal usability evaluation indicates that the interactive nature ofthe application clearly facilitates the analysis process.
Place, publisher, year, edition, pages
Los Alamitos, CA, USA: IEEE Computer Society, 2009. 210-218 p.
, IEEE International Conference on Information Visualisation, ISSN 1550-6037
Information visualization, interactivity, modelled data, multicomponent data, ternary diagram
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-25578DOI: 10.1109/IV.2009.44ISI: 000272794200031ISBN: 978-0-7695-3733-7 (print)OAI: oai:DiVA.org:liu-25578DiVA: diva2:245944
Information Visualization, IV 2009, Barcelona, Spain, 15-17 July 2009