Visualization Support to Contextual Multi-dimensional Browse
Date Issued
2006
Date
2006
Author(s)
Chan, Tzu-Yi
DOI
en-US
Abstract
To use visualization techniques to display multi-dimensional information helps users browse effectively. Among of them such as sliding rods, star coordinate, and parallel bargrams, present each dimension with all items clearly. However, these still can be improved. Most of them focus on an individual item without the relations between dimensions. Besides, the display is limited by
the size of the data sets and the number of the dimensions.
In this paper we propose a hyperbolic-like nodes and edges
diagram, where a node represents a dimension. In order to choose the best display, we arrange previous studies of the effectiveness of the graphical attributes for conveying different types of information. Afterwards, we conduct a within-subject empirical study of the effectiveness of our conclusion. Through experiments, we find that node color hue, edge length, and node color
saturation are effective to encode dimension classification, dimension importance, and data volume effectively. In addition, we prove that the graphical display is much better than the text-based one to present multi-dimensional information.
the size of the data sets and the number of the dimensions.
In this paper we propose a hyperbolic-like nodes and edges
diagram, where a node represents a dimension. In order to choose the best display, we arrange previous studies of the effectiveness of the graphical attributes for conveying different types of information. Afterwards, we conduct a within-subject empirical study of the effectiveness of our conclusion. Through experiments, we find that node color hue, edge length, and node color
saturation are effective to encode dimension classification, dimension importance, and data volume effectively. In addition, we prove that the graphical display is much better than the text-based one to present multi-dimensional information.
Subjects
多維度視覺化
情境式瀏覽
Information visualization
Multi-dimensional visualization
Contextual browse
Type
other
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