情境与时空可视化研究再现性的要求:立场文件

André Calero Valdez, A. Schaar, J. Hildebrandt, M. Ziefle
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引用次数: 2

摘要

新的可视化技术和数据聚合技术的发展推动了时空可视化的研究。然而,对这种可视化的系统评价的研究很少。这种技术的评估通常是在现实环境中进行的,因此缺乏基于实验室的复制的基本要求。复制需要其他研究人员独立进行他们自己的实验来验证你的结果。在这篇论文中,我们讨论了时空可视化系统复制研究的要求。对于高度上下文可视化(如时空可视化),这些要求通常是不可能实现的。我们认为,再现性——允许其他研究人员从你的数据中验证你的发现——是高度情境化可视化的更好目标。我们提供了一个示例工作流,以确保时空可视化的再现性,并讨论了其含义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Requirements for Reproducibility of Research in Situational and Spatio-Temporal Visualization : Position Paper
Research on spatio-temporal visualization is driven by the development of novel visualization and data aggregation techniques. Yet, only little research is conducted on the systematic evaluation of such visualizations. Evaluation of such technology is often conducted in real-life settings and thus lacks fundamental requirements for laboratory-based replication. Replication requires other researchers to independently conduct their own experiments to verify your results. In this position paper, we discuss the requirements for replication studies of spatio-temporal visualization systems. These requirements are often impossible to achieve for highly contextual visualizations such as spatio-temporal visualizations. We argue that reproducibility—allowing other researchers to validate your findings from your data—is a better aim for highly contextual visualizations. We provide a sample workflow to ensure reproducibility for spatio-temporal visualization and discuss its implications.
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