activity
20242026
collaborators

10 papers

cs.HC2026

An Algorithmic Perspective on Information Visualization

Wouter Meulemans

Information visualization is inherently a field that brings together various research domains. Roughly speaking, we may identify two perspectives: the design perspective, revolving…

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

Minimizing Vertical Length in Linked Bar Charts

Steven van den Broek, Marc van Kreveld, Wouter Meulemans +1

A linked bar chart is the augmentation of a traditional bar chart where each bar is partitioned into blocks and pairs of blocks are linked using orthogonal lines that pass over int…

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…