IEEE Trans Vis Comput Graph. 2014 Dec;20(12):2072-81. doi: 10.1109/TVCG.2014.2346277.
We present a method to map tree structures to colors from the Hue-Chroma-Luminance color model, which is known for its well balanced perceptual properties. The Tree Colors method can be tuned with several parameters, whose effect on the resulting color schemes is discussed in detail. We provide a free and open source implementation with sensible parameter defaults. Categorical data are very common in statistical graphics, and often these categories form a classification tree. We evaluate applying Tree Colors to tree structured data with a survey on a large group of users from a national statistical institute. Our user study suggests that Tree Colors are useful, not only for improving node-link diagrams, but also for unveiling tree structure in non-hierarchical visualizations.
我们提出了一种将树结构映射到 Hue-Chroma-Luminance 颜色模型中的颜色的方法,该模型以其良好的感知属性而闻名。Tree Colors 方法可以通过几个参数进行调整,我们详细讨论了这些参数对生成的配色方案的影响。我们提供了一个免费的开源实现,并带有合理的参数默认值。分类数据在统计图形中非常常见,并且这些类别通常形成一个分类树。我们通过对来自国家统计机构的一大群用户进行调查,评估了将 Tree Colors 应用于树状结构数据的效果。我们的用户研究表明,Tree Colors 不仅有助于改进节点链接图,而且有助于揭示非层次化可视化中的树结构。