Title : 
Explode to Explain - Illustrative Information Visualization
         
        
            Author : 
Luboschik, Martin ; Schumann, Heidrun
         
        
            Author_Institution : 
Univ. of Rostock, Rostock
         
        
        
        
        
        
            Abstract : 
Due to complexity, modern visualization techniques for large data volumes and complex interrelationships are difficult to understand for non-expert users and even for expert users the visualization result may be difficult to interpret. Often the limited screen space and the risk of occlusion hinders a meaningful explanation of techniques or datasets by additional visual elements. This paper presents a novel way how views from information visualization can be adapted by the use of the well-known illustrative technique "exploded view", to successfully face the problems described above. The application of exploded views gains screen space for an explanation in a smart way and acts explanatory itself. With our approach of illustrating visual representations, the understanding of complex visualization techniques is eased and new comprehensible views on data are given.
         
        
            Keywords : 
data visualisation; hidden feature removal; exploded view; information visualization; occlusion; visual representation; Assembly; Character generation; Computer science; Data visualization; Displays; Explosions; Geometry; Lenses; Process control; Technical drawing;
         
        
        
        
            Conference_Titel : 
Information Visualization, 2007. IV '07. 11th International Conference
         
        
            Conference_Location : 
Zurich
         
        
        
            Print_ISBN : 
0-7695-2900-3