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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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2024-09-20
DOI
https://doi.org/10.1109/tvcg.2024.3456311
Citations
5
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
1.25
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article

Visualization Atlases: Explaining and Exploring Complex Topics Through Data, Visualization, and Narration

Xinhuan Shu, Benjamin Bach, Uta Hinrichs, J. J. Wang
5 citations
IEEE Transactions on Visualization and Computer Graphics
Data Visualization and Analytics
1.25
article

Visualization Atlases: Explaining and Exploring Complex Topics Through Data, Visualization, and Narration

Xinhuan Shu, Benjamin Bach, Uta Hinrichs, J. J. Wang
article en
5 citations

Abstract

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.

IEEE Transactions on Visualization and Computer GraphicsVol. 31(1)
Newcastle University (GB), University of Edinburgh (GB)
Openalex Percentile: Top 19%
Data Visualization and Analytics
1.25
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Visualization Atlases: Explaining and Exploring Complex Topics Through Data, Visualization, and Narration — Xinhuan Shu, Benjamin Bach, et al. · IEEE Transactions on Visualization and Computer Graphics (2024) | TGRS Research Map | TGRS