A Declarative Rendering Model for Multiclass Density Maps

Multiclass maps are scatterplots, multidimensional projections, or thematic geographic maps where data points have a categorical attribute in addition to two quantitative attributes. This categorical attribute is often rendered using shape or color, which does not scale when overplotting occurs. Whe...

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Veröffentlicht in:IEEE transactions on visualization and computer graphics Jg. 25; H. 1; S. 470 - 480
Hauptverfasser: Jaemin Jo, Vernier, Frederic, Dragicevic, Pierre, Fekete, Jean-Daniel
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States IEEE 01.01.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Schlagworte:
aggregation
Cartography
Computational modeling
Computer Science
Data management
Data points
Data visualization
declarative specification
Density
density maps
Histograms
Human-Computer Interaction
Image color analysis
multiclass scatterplots
Rendering (computer graphics)
Scalability
Semantics
Task analysis
Visualization
visualization grammar
visualization grammar
aggregation
multiclass scatterplots
Scalability
declarative specification
density maps
ISSN:1077-2626, 1941-0506, 1941-0506
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Zusammenfassung:Multiclass maps are scatterplots, multidimensional projections, or thematic geographic maps where data points have a categorical attribute in addition to two quantitative attributes. This categorical attribute is often rendered using shape or color, which does not scale when overplotting occurs. When the number of data points increases, multiclass maps must resort to data aggregation to remain readable. We present multiclass density maps: multiple 2D histograms computed for each of the category values. Multiclass density maps are meant as a building block to improve the expressiveness and scalability of multiclass map visualization. In this article, we first present a short survey of aggregated multiclass maps, mainly from cartography. We then introduce a declarative model-a simple yet expressive JSON grammar associated with visual semantics-that specifies a wide design space of visualizations for multiclass density maps. Our declarative model is expressive and can be efficiently implemented in visualization front-ends such as modern web browsers. Furthermore, it can be reconfigured dynamically to support data exploration tasks without recomputing the raw data. Finally, we demonstrate how our model can be used to reproduce examples from the past and support exploring data at scale.
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ISSN:1077-2626
1941-0506
1941-0506
DOI:10.1109/TVCG.2018.2865141