论文标题
不像您想象的那样容易 - 从试图创建自下而上的可视化图像类型学中学到的经验和经验教训
Not As Easy As You Think -- Experiences and Lessons Learnt from Trying to Create a Bottom-Up Visualization Image Typology
论文作者
论文摘要
我们介绍并讨论了IEEE可视化（VIS）论文中发表的两年定性分析的结果。具体而言，我们得出了13种可视化图像类型的类型，并编码以区分可视化和几个图像特征。分类过程需要更多的时间，比我们最初想象的要困难得多。由此产生的类型学和图像分析可能有多种目的：随着时间的流逝，研究社区及其研究的成果的演变，以促进可视化图像的分类，以进行教学目的，以确定视觉设计以进行评估目的，或者在可视化中实现标准化的进步。除了类型和图像表征外，我们还提供了一个6,833个标记的图像和一个在线工具的数据集，该工具可用于探索和分析大型标记的图像。因此，我们促进了讨论所使用的各种可视化以及如何在我们社区中发布和传达它们的方式。
We present and discuss the results of a two-year qualitative analysis of images published in IEEE Visualization (VIS) papers. Specifically, we derive a typology of 13 visualization image types, coded to distinguish visualizations and several image characteristics. The categorization process required much more time and was more difficult than we initially thought. The resulting typology and image analysis may serve a number of purposes: to study the evolution of the community and its research output over time, to facilitate the categorization of visualization images for the purpose of teaching, to identify visual designs for evaluation purposes, or to enable progress towards standardization in visualization. In addition to the typology and image characterization, we provide a dataset of 6,833 tagged images and an online tool that can be used to explore and analyze the large set of tagged images. We thus facilitate a discussion of the diverse visualizations used and how they are published and communicated in our community.
