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Edwin de Jonge

dblp:06/10536 · DBLP profile ↗
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5ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0002-6580-4718ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 3 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%
Human-computer interaction and pervasive computing
1 paper
Usability and user experience research · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › information visualization › statistical graphics
categorical data visualization
0.212014
Tree Colors: Color Schemes for Tree-Structured Data · IEEE Trans. Vis. Comput. Graph. 2014
Visualization and visual analytics › visual encoding
color design
0.212014
Tree Colors: Color Schemes for Tree-Structured Data · IEEE Trans. Vis. Comput. Graph. 2014
Usability and user experience research
user study
0.112014
Tree Colors: Color Schemes for Tree-Structured Data · IEEE Trans. Vis. Comput. Graph. 2014

Methods — techniques the papers use, named apart from their topics

user survey · 0.4hue-chroma-luminance color model · 0.4
YearPublicationVenuePosition
2020 Statistical Disclosure Control When Publishing on Thematic Maps
Douwe Hut, Jasper Goseling, Marie-Colette van Lieshout, Peter-Paul de Wolf, Edwin de Jonge
PSD5
2018 Safely Plotting Continuous Variables on a Map
Peter-Paul de Wolf, Edwin de Jonge
PSD2
2016 Spatial Smoothing and Statistical Disclosure Control
Edwin de Jonge, Peter-Paul de Wolf
PSD1
2015 Errata to "Tree Colors: Color Schemes for Tree-Structured Data"
abstract
Various revisions were made to the paper, "Tree colors: Color schemes for tree-structured data," M. Tennekes and E. de Jonge, IEEE Trans. Vis. Comput. Graphics, vol. 20, no. 12, pp. 2072-2081, Dec. 2014.
Martijn Tennekes, Edwin de Jonge
IEEE Trans. Vis. Comput. Graph.2
2014 Tree Colors: Color Schemes for Tree-Structured Data
abstract
We present a method to map tree structures to colors from the Hue-Chroma-Luminance color model, which is known for its well balanced perceptual properties. The Tree Colors method can be tuned with several parameters, whose effect on the resulting color schemes is discussed in detail. We provide a free and open source implementation with sensible parameter defaults. Categorical data are very common in statistical graphics, and often these categories form a classification tree. We evaluate applying Tree Colors to tree structured data with a survey on a large group of users from a national statistical institute. Our user study suggests that Tree Colors are useful, not only for improving node-link diagrams, but also for unveiling tree structure in non-hierarchical visualizations.
Martijn Tennekes, Edwin de Jonge
IEEE Trans. Vis. Comput. Graph.2