Browsing by Author "Samsel, Francesca"

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    Designing Pairs of Colormaps for Visualizing Bivariate Scalar Fields
    (The Eurographics Association, 2020) Ware, Colin; Samsel, Francesca; Rogers, David H.; Navratil, Paul; Mohammed, Ayat; Kerren, Andreas and Garth, Christoph and Marai, G. Elisabeta
    In scientific visualization there is sometimes a requirement for two colormaps to be used to represent two co-registered scalar fields. One solution is to represent one of the fields as a continuous colormapped image, and the second field by means of a dense distribution of small glyphs overlaid on the background image and coded using a different colormap. This requires the design of pairs of colormaps which each can be easily read, but which minimally interfere with one another. Colormap pairs separated according to lightness, saturation and hue, were designed and evaluated using both a key accuracy task and a pattern identification task. The saturation separation pair (one colormap having high saturation and the other low saturation) was the best overall.
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    Highlight Insert Colormaps: Luminance for Focused Data Analysis
    (The Eurographics Association, 2019) Samsel, Francesca; Overmyer, Trinity; Navrátil, Paul A.; Johansson, Jimmy and Sadlo, Filip and Marai, G. Elisabeta
    Color provides the primary conduit through which we extract insight from data visualizations. As the dynamic range of data grows, extracting salient features from surrounding context becomes increasingly challenging. Default colormaps provided by visualization software are poorly suited to perform such reductions of visual data. Here we present sets of highlight insert colormaps (HICs) that provide scientists with the means to quickly and easily render a detailed overview of their data, create detailed scans of their data, and examine the outer ranges of data in detail. This method builds on the long understood discriminatory power of luminance and in the highlight region provides 3x to 10x the discriminative power of common colormaps.