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CompaRing: Reducing Costs of Visual Comparison
(The Eurographics Association, 2016)
Comparison is a frequent task when analyzing data. In visualization, comparison tasks are naturally carried out based on a visual representation of the data. Visual comparison allows us to gain insight where plain computations ...
TexTile: A Pixel-Based Focus+Context Tool For Analyzing Variants Across Multiple Text Scales
(The Eurographics Association, 2017)
Before the advent of printed texts, text duplication was done primarily by hand. Errors, alterations, and erasures were common and varied widely across different copies of the same text. Classics scholars seek to reconstruct ...
A Crowdsourced Approach to Colormap Assessment
(The Eurographics Association, 2017)
Despite continual research and discussion on the perceptual effects of color in scientific visualization, psychophysical testing is often limited. In-person lab studies can be expensive and time-consuming while results can ...
Classic Techniques in New Domains: An Alternative Recipe
(The Eurographics Association, 2016)
In this paper, we adapt the classic technique of depicting a process as a structured workflow to suit the standard recipe. Cooking can be thought of as a small data, big user task. A single recipe encompasses only a small ...
Evaluating Countable Texture Elements to Represent Bathymetric Uncertainty
(The Eurographics Association, 2022)
Measurements of the depth of the seabed vary widely in both horizontal and vertical accuracy. To convey this information to mariners, Zones of Confidence (ZOC) are defined for charts. A mosaic of ZOCs can be represented ...
Visual Analysis of Relations in Attributed Time-Series Data
(The Eurographics Association, 2015)
In this paper, we present visual-interactive techniques for revealing relations between two co-existing multivariate feature spaces. Such data is generated, for example, by sensor networks characterized by a set of ...
Visual-Interactive Exploration of Relations Between Time-Oriented Data and Multivariate Data
(The Eurographics Association, 2016)
The analysis of large, multivariate data sets is challenging, especially when some of these data objects are timeoriented. Exploring relationships between multivariate and temporal information, e.g., to identify patterns ...