
In this paper, we describe an implementation of the cityscape metaphor to visualize trees. The cityscape metaphor is a generallzotion of barcharts in 3D. Our approach serves for better exploitation of human perception capabilities. To achieve this we employ effective visual cues like node position nnd size. We determine node positions in terms of perccptual organization. Further we determine node sizes for providing redundant hierarchical information. Redundancy aides in better understanding the tree structure. Finally, we point out some of the advantages of this approach to other spntial metaphors such as cone trees. CR Descriptors: 1.3.3 [Computer Graphics]: Picture/image generation Display algorithms; 1.3.5 [Computer Graphics]: Computational Geometry and Object Modeling; 1.3.6 [Computer Graphics]: Methodology and Techniques; 1.3.7 [Computer Graphics]: ThreeDimensional Graphics and Realism.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 10 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
