New PDF release: Diagrammatic Representation and Inference: 8th International

By Tim Dwyer, Helen Purchase, Aidan Delaney

ISBN-10: 3662440423

ISBN-13: 9783662440421

ISBN-10: 3662440431

ISBN-13: 9783662440438

This booklet constitutes the refereed lawsuits of the eighth overseas convention at the conception and alertness of Diagrams, Diagrams 2014, held in Melbourne, VIC, Australia in July/August 2014. The 15 revised complete papers and nine brief papers provided including 6 posters have been conscientiously reviewed and chosen from forty submissions. The papers were geared up within the following topical sections: diagram structure, diagram notations, diagramming instruments, diagrams in schooling, empirical stories and good judgment and diagrams.

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Read Online or Download Diagrammatic Representation and Inference: 8th International Conference, Diagrams 2014, Melbourne, VIC, Australia, July 28 – August 1, 2014. Proceedings PDF

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Extra resources for Diagrammatic Representation and Inference: 8th International Conference, Diagrams 2014, Melbourne, VIC, Australia, July 28 – August 1, 2014. Proceedings

Sample text

The 1-bend visibility graph, is as far as we are aware, completely novel. 2 Obstacle Hugging Routes For simplicity we assume obstacles are rectangles: more complex shapes can be approximated by their bounding rectangle and assume for the purposes of complexity analysis that the number of connector points on each object is a fixed constant. We are interested in finding a poly-line route of horizontal and vertical segments for each connector. We specify such an orthogonal route as sequence of points p1 , .

But exploring time-dependent sports data is interesting for sportsmen, managers, the mass media, as well as for the spectator in order to get informed by a simple all-showing diagram. In this paper we introduce Tennis Plots: an interactive visualization technique that visually encodes the playing and pausing phases of a tennis match in a multiple aligned scales representation similar to layered icicle plots. Such a visualization first gives an overview of the complete match and simultaneously shows different phases and the match structure.

We visually map the time dimension to the vertical axis that is used to visualize the durations of the single events such as the time until a point is scored and the pauses in-between. The horizontal axis is also used as time axis showing the overall temporal structure of the tennis match in the form of sets. Interaction techniques are integrated targeting a better exploration of the time-varying data. 2 Related Work Analyzing time-varying data can be challenging, depending on the type of data, the characteristics of the time axis, and the applied visual metaphor [2].

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Diagrammatic Representation and Inference: 8th International Conference, Diagrams 2014, Melbourne, VIC, Australia, July 28 – August 1, 2014. Proceedings by Tim Dwyer, Helen Purchase, Aidan Delaney


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