1 code implementation • 9 Sep 2024 • Martin Nöllenburg, Christian Pirker, Anna Rapberger, Stefan Woltran, Jules Wulms
The visualization of argumentation frameworks (AFs) is crucial for enabling a wide applicability of argumentative tools.
1 code implementation • 20 Jan 2021 • Markus Wallinger, Ben Jacobsen, Stephen Kobourov, Martin Nöllenburg
Set systems are used to model data that naturally arises in many contexts: social networks have communities, musicians have genres, and patients have symptoms.
Human-Computer Interaction
no code implementations • 18 Feb 2020 • Sujoy Bhore, Guangping Li, Martin Nöllenburg
Map labeling is a classical problem in cartography and geographic information systems (GIS) that asks to place labels for area, line, and point features, with the goal to select and place the maximum number of independent, i. e., overlap-free, labels.
Computational Geometry Data Structures and Algorithms
no code implementations • 17 Oct 2019 • Fabian Klute, Guangping Li, Raphael Löffler, Martin Nöllenburg, Manuela Schmidt
In an iterative human-in-the-loop process alternating between user modifications and local algorithmic updates and refinements the labeling can be tuned to the user's needs.
1 code implementation • 20 Aug 2019 • Soeren Nickel, Max Sondag, Wouter Meulemans, Markus Chimani, Stephen Kobourov, Jaakko Peltonen, Martin Nöllenburg
We enforce orthogonal separation constraints with linear programming, and measure quality in terms of keeping adjacent regions close (cartogram quality) and using similar positions for a region between the different data values (stability).
Computational Geometry Data Structures and Algorithms
1 code implementation • 20 Sep 2016 • Lukas Barth, Benjamin Niedermann, Martin Nöllenburg, Darren Strash
Operations like rotation, zoom, and translation dynamically change the map over time and make a consistent adaptation of the map labeling necessary.
Computational Geometry Data Structures and Algorithms F.2.2; G.2.2; G.2.3
