A Design Space for Multiscale Visualization

Designing multiscale visualizations, particularly when the ratio between the largest scale and the smallest item is large, can be challenging, and designers have developed many approaches to overcome this challenge. We present a design space for visualization with multiple scales. The design space includes three dimensions, with eight total subdimensions. We demonstrate its descriptive power by using it to code approaches from a corpus we compiled of 52 examples, created by a mix of academics and practitioners. We demonstrate descriptive power by analyzing and partitioning these examples into four high-level strategies for designing multiscale visualizations, which are shared approaches with respect to design space dimension choices. We demonstrate generative power by analyzing missed opportunities within the corpus of examples, identified through analysis of the design space, where we note how certain examples could have benefited from different choices. We discuss patterns in the use of different dimension and strategy choices in the different visualization contexts of analysis and presentation. Supplemental materials: https://osf.io/wbrdm/ Design space website: https://marasolen.github.io/multiscale-vis-ds/.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2025-11-24
DOI
https://doi.org/10.1109/tvcg.2025.3634790
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
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article

A Design Space for Multiscale Visualization

Mara Solen, Tamara Munzner, Matt I. B. Oddo
IEEE Transactions on Visualization and Computer Graphics
Data Visualization and Analytics
article

A Design Space for Multiscale Visualization

Mara Solen, Tamara Munzner, Matt I. B. Oddo
article en

Abstract

Designing multiscale visualizations, particularly when the ratio between the largest scale and the smallest item is large, can be challenging, and designers have developed many approaches to overcome this challenge. We present a design space for visualization with multiple scales. The design space includes three dimensions, with eight total subdimensions. We demonstrate its descriptive power by using it to code approaches from a corpus we compiled of 52 examples, created by a mix of academics and practitioners. We demonstrate descriptive power by analyzing and partitioning these examples into four high-level strategies for designing multiscale visualizations, which are shared approaches with respect to design space dimension choices. We demonstrate generative power by analyzing missed opportunities within the corpus of examples, identified through analysis of the design space, where we note how certain examples could have benefited from different choices. We discuss patterns in the use of different dimension and strategy choices in the different visualization contexts of analysis and presentation. Supplemental materials: https://osf.io/wbrdm/ Design space website: https://marasolen.github.io/multiscale-vis-ds/.

IEEE Transactions on Visualization and Computer GraphicsVol. 32(1)
University of British Columbia (CA)
Openalex Percentile: Top 63%
Data Visualization and Analytics
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