EuroVA12
https://diglib.eg.org:443/handle/10.2312/985
ISBN 978-3-905673-89-02024-03-28T12:54:49ZVisual Analysis of Public Transport Vehicle Movement
https://diglib.eg.org:443/handle/10.2312/PE.EuroVAST.EuroVA12.079-083
Visual Analysis of Public Transport Vehicle Movement
Wörner, Michael; Ertl, Thomas
Kresimir Matkovic and Giuseppe Santucci
Public transport vehicles record detailed operational logs. In major networks, this quickly amounts to massive datasets. Traditionally, these are analysed only using statistical tools, yet they show great potential for the successful application of visual analytics techniques and the integration of different visualizations in order to improve service quality and passenger comfort. We present a visual analytics tool for the analysis of such data and apply it to a real-world dataset of actual public transport vehicle movements.
2012-01-01T00:00:00ZGraph Visualization Using Hierarchical Edge Routing and Bundling
https://diglib.eg.org:443/handle/10.2312/PE.EuroVAST.EuroVA12.097-101
Graph Visualization Using Hierarchical Edge Routing and Bundling
Kienreich, Wolfgang; Wozelka, Ralph; Sabol, Vedran; Seifert, Christin
Kresimir Matkovic and Giuseppe Santucci
Driven by rapidly growing application areas such as semantic knowledge bases and social networks, visualization of large graphs has been gaining importance recently. A large amount of nodes and intersecting edges presents a major challenge for usability and aesthetics, and may also pose a scalability problem. Edge routing and bundling methods proved useful for reducing clutter, while hierarchical techniques, besides providing the basis for level of detail rendering, also address scalability. We present work in progress which combines hierarchical techniques with edge routing and bundling methods, and utilizes their respective advantages. The proposed graph visualization method employs hierarchical aggregation of graph nodes and edges, and applies edge routing and bundling along the hierarchy to reduce clutter and improve the clarity of the representation.
2012-01-01T00:00:00ZInteractive Visual Analysis of Ethological Studies: Getting Insight from Large Ensembles of Animals' Paths
https://diglib.eg.org:443/handle/10.2312/PE.EuroVAST.EuroVA12.085-089
Interactive Visual Analysis of Ethological Studies: Getting Insight from Large Ensembles of Animals' Paths
Matkovic, Kresimir; Winding, Christiana; Splechtna, Rainer; Balka, Michael
Kresimir Matkovic and Giuseppe Santucci
In this paper we describe how interactive visual analysis can be efficiently used to analyze a large ensemble of animal paths. Behavioral studies of animals are carried out in order to gain new insight in animal behavior, influence of drugs and various physiological processes. We illustrate how a coordinated multiple views system can complement conventional analysis and enable new insights in complex data. The newly proposed methodology is being tested with domain experts from University of Veterinary Medicine, and first feedback is very positive. Several illustrative examples based on data from more than 800 observations are presented.
2012-01-01T00:00:00ZOntology Visualization: One Size Does Not Fit All
https://diglib.eg.org:443/handle/10.2312/PE.EuroVAST.EuroVA12.091-095
Ontology Visualization: One Size Does Not Fit All
Silva, Isabel da; Santucci, Giuseppe; Freitas, Carla del Sasso
Kresimir Matkovic and Giuseppe Santucci
Visualization techniques have been used for ontology representation to allow the comprehension of concepts and properties in specific domains. Due to the complexity and size of ontologies such techniques need to be efficient in showing all the concepts and relationships in a intuitive visualization. We propose a novel use of the Degree of Interest notion in order to reduce the complexity of the representation itself and draw the user attention to the main concepts for a given task. Through an automatic analysis of the ontology aspects, we place the main concept in focus, distinguishing it from the unnecessary information and facilitating the analysis and understanding of correlated data. This new Degree of Interest calculation can be easily adapted to different user tasks. Besides, we extended a multiple coordinated views approach proposed in previous works for exploring the intensional structure of an ontology. We also present a tool implementing these ideas as a proof-of-concept prototype.
2012-01-01T00:00:00Z