Current visualization research has identified the potential of more immersive settings for data exploration, leveraging VR and AR technologies. To explore how a traditional visualization system could be adapted into an immersive framework, and how it could benefit from this, we decided to revisit a landmark paper presented ten years ago at IEEE VIS. TaxiVis, by Ferreira et al., enabled interactive spatio-temporal querying of a large dataset of taxi trips in New York City. Here, we reimagine how TaxiVis' functionalities could be implemented and extended in a 3D immersive environment. Among the unique features we identify as being enabled by the Immersive TaxiVis prototype are alternative uses of the additional visual dimension, a fully visual 3D spatio-temporal query framework, and the opportunity to explore the data at different scales and frames of reference. By revisiting the case studies from the original paper, we demonstrate workflows that can benefit from this immersive perspective. Through reporting on our experience, and on the vision and reasoning behind our design decisions, we hope to contribute to the debate on how conventional and immersive visualization paradigms can complement each other and on how the exploration of urban datasets can be facilitated in the coming years.

翻译：当前可视化研究已认识到利用VR和AR技术构建更沉浸式数据探索环境的潜力。为探究传统可视化系统如何适配沉浸式框架及其潜在优势，我们决定重新审视十年前在IEEE VIS会议上发表的里程碑式论文。Ferreira等人提出的TaxiVis系统实现了对纽约市大规模出租车行程数据的交互式时空查询。本文重新构想了如何在三维沉浸式环境中实现并扩展TaxiVis的功能特性。我们通过沉浸式TaxiVis原型系统识别出若干独特功能：额外视觉维度的创新运用、完全可视化的三维时空查询框架，以及在不同尺度与参考系下探索数据的能力。通过复现原论文的案例研究，我们展示了沉浸式视角可优化的工作流程。通过总结实践经验并阐释设计决策背后的理念与推理，我们期望为推动传统与沉浸式可视化范式互补关系的讨论作出贡献，并为未来城市数据集探索提供方法论参考。