Information overload refers to the difficulty in understanding information due to an inappropriate den-sity of information in a limited display space.Scatter plots,being one of the most common data visualization methods,are particularly susceptible to information overload and require techniques to mitigate this issue.From the perspective of visual analysis,we put forward a clutter entropy model for quantitative evaluation of scatter plots information clutter,and propose an algorithm to eliminate scatter plots information clutter from the two dimensions of content and space based on individual significance model and quad tree structure.The high and low significance data are processed and the display size and layout position are specified respec-tively,and the scatter plots information clutter is eliminated from the display and layout level.
关键词
信息混淆/散点图/可视分析/显著值模型
Key words
information clutter/scatter plots/visual analysis/significance model
维普
万方数据