VisTaxa: Developing a Taxonomy of Historical Visualizations

Historical visualizations are a rich resource for visualization research. While taxonomy is commonly used to structure and understand the design space of visualizations, existing taxonomies primarily focus on contemporary visualizations and largely overlook historical visualizations. To address this gap, we describe an empirical method for taxonomy development. We introduce a coding protocol and the VisTaxa system for taxonomy labeling and comparison. We demonstrate using our method to develop a historical visualization taxonomy by coding 400 images of historical visualizations. We analyze the coding result and reflect on the coding process. Our work is an initial step toward a systematic investigation of the design space of historical visualizations.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2025-05-06
DOI
https://doi.org/10.1109/tvcg.2025.3567132
Citations
1
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
1.28
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article

VisTaxa: Developing a Taxonomy of Historical Visualizations

X. T. Chen, Yuhan Guo, Xiaoru Yuan, Yu Zhang et al.
1 citations
IEEE Transactions on Visualization and Computer Graphics
Data Visualization and Analytics
1.28
article

VisTaxa: Developing a Taxonomy of Historical Visualizations

X. T. Chen, Yuhan Guo, Xiaoru Yuan, Yu Zhang, Guozheng Li, Siming Chen, Weili Zheng
article en
1 citations

Abstract

Historical visualizations are a rich resource for visualization research. While taxonomy is commonly used to structure and understand the design space of visualizations, existing taxonomies primarily focus on contemporary visualizations and largely overlook historical visualizations. To address this gap, we describe an empirical method for taxonomy development. We introduce a coding protocol and the VisTaxa system for taxonomy labeling and comparison. We demonstrate using our method to develop a historical visualization taxonomy by coding 400 images of historical visualizations. We analyze the coding result and reflect on the coding process. Our work is an initial step toward a systematic investigation of the design space of historical visualizations.

IEEE Transactions on Visualization and Computer GraphicsVol. 31(6)
Beijing Institute of Technology (CN), Fudan University (CN), University of Oxford (GB), Beijing Academy of Artificial Intelligence (CN)
Openalex Percentile: Top 21%
Data Visualization and Analytics
1.28
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VisTaxa: Developing a Taxonomy of Historical Visualizations — X. T. Chen, Yuhan Guo, et al. · IEEE Transactions on Visualization and Computer Graphics (2025) | TGRS Research Map | TGRS