可视化地图集:通过数据、可视化和叙述来解释和探索复杂的主题。

Jinrui Wang, Xinhuan Shu, Benjamin Bach, Uta Hinrichs
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引用次数: 0

摘要

本文对可视化地图集这一新兴类型进行了定义、分析和讨论。目前,我们看到越来越多基于网络的数据驱动型计划自称为 "地图集",同时通过数据和可视化来解释复杂的当代问题:气候变化、可持续发展、人工智能或文化发现。为了了解这一新兴类型,并为其设计、研究和作者支持提供信息,我们对 33 幅可视化地图集进行了系统分析,并对 8 位可视化地图集创作者进行了半结构化访谈。根据分析结果,我们提出了以下几点:(1) 将可视化地图集定义为(网络)页面汇编,旨在通过数据、可视化和叙述来解释和支持对特定主题数据的探索。(2) 一套包含 8 个设计维度的设计模式,(3) 通过访谈对图集制作的见解,(4) 5 种可视化图集流派的定义。我们发现,可视化地图集的独特之处在于它们结合了 i) 探索性可视化;ii) 数据驱动的故事叙述元素;iii) 结构化导航机制。它们面向具有不同领域知识水平的广泛受众,是研究、交流和发现的工具。最后,我们将围绕可视化地图集的伦理和潜在现实影响,讨论当前的设计实践和新出现的问题,旨在为可视化地图集的设计和研究提供参考。
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Visualization Atlases: Explaining and Exploring Complex Topics through Data, Visualization, and Narration.

This paper defines, analyzes, and discusses the emerging genre of visualization atlases. We currently witness an increase in web-based, data-driven initiatives that call themselves "atlases" while explaining complex, contemporary issues through data and visualizations: climate change, sustainability, AI, or cultural discoveries. To understand this emerging genre and inform their design, study, and authoring support, we conducted a systematic analysis of 33 visualization atlases and semi-structured interviews with eight visualization atlas creators. Based on our results, we contribute (1) a definition of a visualization atlas as a compendium of (web) pages aimed at explaining and supporting exploration of data about a dedicated topic through data, visualizations and narration. (2) a set of design patterns of 8 design dimensions, (3) insights into the atlas creation from interviews and (4) the definition of 5 visualization atlas genres. We found that visualization atlases are unique in the way they combine i) exploratory visualization, ii) narrative elements from data-driven storytelling and iii) structured navigation mechanisms. They target a wide range of audiences with different levels of domain knowledge, acting as tools for study, communication, and discovery. We conclude with a discussion of current design practices and emerging questions around the ethics and potential real-world impact of visualization atlases, aimed to inform the design and study of visualization atlases.

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