Highlight Insert Colormaps: Luminance for Focused Data Analysis

Samsel, Francesca; Overmyer, Trinity; Navrátil, Paul A.

Highlight Insert Colormaps: Luminance for Focused Data Analysis

Files

055-059.pdf (3.15 MB)

1045-file1.mp4 (56.66 MB)

Date

2019

Authors

Samsel, Francesca
Overmyer, Trinity
Navrátil, Paul A.

Publisher

The Eurographics Association

Abstract

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.

        @inproceedings{10.2312:evs.20191170
,
booktitle = {EuroVis 2019 - Short Papers
},
editor = {Johansson, Jimmy and Sadlo, Filip and Marai, G. Elisabeta
},
title = {{Highlight Insert Colormaps: Luminance for Focused Data Analysis
}},
author = {Samsel, Francesca and 
Overmyer, Trinity and 
Navrátil, Paul A.
},
year = {2019
},
publisher = {The Eurographics Association
},
ISBN = {978-3-03868-090-1
},
DOI = {10.2312/evs.20191170
}
}