collaborators

7 papers

cs.CG2026

Automated Responsive Thematic Mapping with Layout Guides

Arjen Simons, Sarah Schöttler, Wouter Meulemans +2

Thematic maps visually communicate statistical information about spatial units such as countries or states. They must balance the individual readability of those map elements that…

cs.HC2026

Unfolding Ordered Matrices into BioFabric Motifs

Jules Wulms, Wouter Meulemans, Bettina Speckmann

BioFabrics were introduced by Longabaugh in 2012 as a way to draw large graphs in a clear and uncluttered manner. The visual quality of BioFabrics crucially depends on the order of…

cs.HC2026

Noisy Graph Patterns via Ordered Matrices

Jules Wulms, Wouter Meulemans, Bettina Speckmann

The high-level structure of a graph is a crucial ingredient for the analysis and visualization of relational data. However, discovering the salient graph patterns that form this st…

cs.CG2025

BlockSets: A Structured Visualization for Sets with Large Elements

Neda Novakova, Veselin Todorov, Steven van den Broek +2

Visualizations of set systems frequently use enclosing geometries for the sets in combination with reduced representations of the elements, such as short text labels, small glyphs,…

cs.CG2025

Summarizing Classed Region Maps with a Disk Choreme

Steven van den Broek, Wouter Meulemans, Andreas Reimer +1

Chorematic diagrams are highly reduced schematic maps of geospatial data and processes. They can visually summarize complex situations using only a few simple shapes (choremes) pla…

cs.CG2025

Optimizing Symbol Visibility through Displacement

Bernd Gärtner, Vishwas Kalani, Meghana M. Reddy +3

In information visualization, the position of symbols often encodes associated data values. When visualizing data elements with both a numerical and a categorical dimension, positi…