External Labeling

Fundamental Concepts and Algorithmic Techniques

Häftad, Engelska, 2021

AvMichael A. Bekos,Benjamin Niedermann,Martin Nöllenburg,Martin Nollenburg

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Internal labels are placed inside or in the direct neighborhood of features, while external labels, which form the topic of this book, are placed in the margins outside the illustration, where they do not occlude the illustration itself.

Produktinformation

Utgivningsdatum2021-07-27
Mått191 x 235 x 8 mm
Vikt262 g
FormatHäftad
SpråkEngelska
SerieSynthesis Lectures on Visualization
Antal sidor114
FörlagSpringer International Publishing AG
ISBN9783031014819
OriginaltitelExternal Labeling

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Michael A. Bekos is currently a postdoctoral researcher at the Algorithmic group of the Department of Computer Science of the University of TMichael A. Bekos is currently a postdoctoral researcher at the Algorithmic group of the Department of Computer Science of the University of Tübingen in Germany, while recently he was appointed as an assistant professor at the Department of Mathematics of the University of Ioannina in Greece. In 2009, he received a Ph.D. in Theoretical Computer Science from the National Technical University of Athens. His research interests primarily focus on the development of algorithms to solve problems mostly from the research areas of Map Labeling, Graph Drawing, and Graph Theory. His research work counts more than 100 peer-reviewed research papers, and among them more than 15 on various aspects of labeling.Benjamin Niedermann obtained his Ph.D. in Computer Science from the Karlsruhe Institute of Technology (KIT), Germany, in 2017. From 2017—2021, he wasa member of the research group Geoinformation at the University of Bonn. His research interests comprise the development of efficient algorithms in Computational Geometry, Computational Cartography, and Geoprocessing. One main focus of his research is label placement in figures, maps, and dynamic scenes. It includes mathematical models, the design of algorithms with provable guarantees, as well as the empirical evaluation of the algorithms in real-world scenarios.Martin Nöllenburg is a full professor in the Algorithms and Complexity Group at TU Wien, Vienna, Austria. He obtained a Ph.D. and habilitation degrees in Computer Science from the Karlsruhe Institute of Technology (KIT) in 2009 and 2015, respectively, and joined TU Wien as an assistant professor in 2015. His research interests include the engineering of graph and geometric algorithms, in particular for the visualization of networks and spatial data. He has published more than 140 peer-reviewed research papers, and among them more than 35 on various aspects of internal and external labeling algorithms.