JunihitoeView: A Technique for Visualization and Level-Of-Detail Control of Hierarchical Multi-Variate Data

Maiko Yamazawa, Takayuki Itoh, Fumiyoshi Yamashita
2008 The Journal of the Society for Art and Science  
According to recent growth of information technology, information stored by computers became larger, various, and complecated. Information visualization technique is an active research topic to understand the contents of such information, This paper presents a technique for visualizing large-scale hierarchical multi-variate data, JunihitoeView. The technique is an extension of HeiankyoView, an existing technique for visualizing large-scale hierarcical data. HeiankyoView represents data items as
more » ... icons, but JunihitoeView represents them by assigning various colors to represent the values of the multi-variate by their brightness. The paper also presents a level-of-detail control technique for JunihitoeView. The technique displays variables of a leaf node themselves, when a user zooms in the visualization result. Further, it unifies the variables and display typical values of a higher level hierarchy, when the user zooms out the visualization result. The paper discusses the usefulness of JunihitoeView with the application of the technique for the hierarchical multi-variate data constructed from a drug database. It also shows results of user tests of the presented techniques.
doi:10.3756/artsci.7.85 fatcat:zbloh5qfr5csncybxh5guow3q4