A Hierarchical Data Visualization Algorithm:Self-Adapting Sunburst Algorithm
Sunburst is a hierarchical data visualization method which is filled by radial sectors,for the problem that sectors of Sunburst are placed in disorder and space utilization rate is low,Self-Adapting Sunburst Algorithm (SASA) has been proposed.Nodes are allocated their areas according to their attribute value,and siblings of same parents are made in ascending order according to the size of areas,adjusting the position of sectors.Meanwhile,based on total number of nodes in each layer,SASA dynamically determines width of this circular ring,following the principle more nodes wider circular ring and fewer nodes thinner circular ring,and in this way,it can optimize the size of nested ring in Sunburst and improve space utilization rate.Finally,User Locating Efficiency (ULE) and Arc Ratio (AR) is put forward to examine SASA,Experimental results show that this algorithm can indeed optimize sector’s arrangement,as well as make space utilization better.
hierarchical data sunburst self-adapting user locating efficiency arc ratio
Gong Li-wei Chen Yi Zhang Xin-yue Sun Yue-hong
School of Computer and Information Engineering Beijing Technology and Business University Beijing,China
国际会议
西安
英文
185-190
2013-09-14（万方平台首次上网日期，不代表论文的发表时间）