Evaluating Judgment of Spatial Correlation in Visual Displays of Scalar Field Distributions

In this work we study the identification of spatial correlation in distributions of 2D scalar fields, presented across different forms of visual displays. We study simple visual displays that directly show color-mapped scalar fields, namely those drawn from a distribution, and whether humans can identify strongly correlated spatial regions in these displays. In this setting, the recognition of correlation requires making judgments on a set of fields, rather than just one field. Thus, in our experimental design we compare two basic visualization designs: animation-based displays against juxtaposed views of scalar fields, along different choices of color scales. Moreover, we investigate the impacts of the distribution itself, controlling for the level of spatial correlation and discriminability in spatial scales. Our study's results illustrate the impacts of these distribution characteristics, while also highlighting how different visual displays impact the types of judgments made in assessing spatial correlation. Supplemental material is available at https://osf.io/zn4qy/.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2025-12-17
DOI
https://doi.org/10.1109/tvcg.2025.3633830
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
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article

Evaluating Judgment of Spatial Correlation in Visual Displays of Scalar Field Distributions

Matthew Berger, Yayan Zhao
IEEE Transactions on Visualization and Computer Graphics
Data Visualization and Analytics
article

Evaluating Judgment of Spatial Correlation in Visual Displays of Scalar Field Distributions

Matthew Berger, Yayan Zhao
article en

Abstract

In this work we study the identification of spatial correlation in distributions of 2D scalar fields, presented across different forms of visual displays. We study simple visual displays that directly show color-mapped scalar fields, namely those drawn from a distribution, and whether humans can identify strongly correlated spatial regions in these displays. In this setting, the recognition of correlation requires making judgments on a set of fields, rather than just one field. Thus, in our experimental design we compare two basic visualization designs: animation-based displays against juxtaposed views of scalar fields, along different choices of color scales. Moreover, we investigate the impacts of the distribution itself, controlling for the level of spatial correlation and discriminability in spatial scales. Our study's results illustrate the impacts of these distribution characteristics, while also highlighting how different visual displays impact the types of judgments made in assessing spatial correlation. Supplemental material is available at https://osf.io/zn4qy/.

IEEE Transactions on Visualization and Computer GraphicsVol. 32(1)
Vanderbilt University (US)
Openalex Percentile: Top 58%
Data Visualization and Analytics
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Evaluating Judgment of Spatial Correlation in Visual Displays of Scalar Field Distributions — Matthew Berger, Yayan Zhao · IEEE Transactions on Visualization and Computer Graphics (2025) | TGRS Research Map | TGRS