VMV2022
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Browsing VMV2022 by Author "Bruckner, Stefan"
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Item Honeycomb Plots: Visual Enhancements for Hexagonal Maps(The Eurographics Association, 2022) Trautner, Thomas; Sbardellati, Maximilian; Stoppel, Sergej; Bruckner, Stefan; Bender, Jan; Botsch, Mario; Keim, Daniel A.Aggregation through binning is a commonly used technique for visualizing large, dense, and overplotted two-dimensional data sets. However, aggregation can hide nuanced data-distribution features and complicates the display of multiple data-dependent variables, since color mapping is the primary means of encoding. In this paper, we present novel techniques for enhancing hexplots with spatialization cues while avoiding common disadvantages of three-dimensional visualizations. In particular, we focus on techniques relying on preattentive features that exploit shading and shape cues to emphasize relative value differences. Furthermore, we introduce a novel visual encoding that conveys information about the data distributions or trends within individual tiles. Based on multiple usage examples from different domains and real-world scenarios, we generate expressive visualizations that increase the information content of classic hexplots and validate their effectiveness in a user study.