MotionGlyphs: Visual Abstraction of Spatio‐Temporal Networks in Collective Animal Behavior

Cakmak, Eren; Schäfer, Hanna; Buchmüller, Juri; Fuchs, Johannes; Schreck, Tobias; Jordan, Alex; Keim, Daniel A.

doi:10.1111/cgf.13963

Cited by 6 publications

(2 citation statements)

References 72 publications

(76 reference statements)

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“…The sessions were inspired by the evaluation methodology from Kaastra and Fisher [KF14] and Cakmak et al [CSB ∗ 20]. In individual sessions that lasted between 50 and 90 minutes, in total five conflict researchers excluding our collaboration partner used VEHICLE .…”

Section: Discussionmentioning

confidence: 99%

VEHICLE: Validation and Exploration of the Hierarchical Integration of Conflict Event Data

Mayer¹,

Lawonn

Donnay

et al. 2021

Computer Graphics Forum

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The exploration of large‐scale conflicts, as well as their causes and effects, is an important aspect of socio‐political analysis. Since event data related to major conflicts are usually obtained from different sources, researchers developed a semi‐automatic matching algorithm to integrate event data of different origins into one comprehensive dataset using hierarchical taxonomies. The validity of the corresponding integration results is not easy to assess since the results depend on user‐defined input parameters and the relationships between the original data sources. However, only rudimentary visualization techniques have been used so far to analyze the results, allowing no trustworthy validation or exploration of how the final dataset is composed. To overcome this problem, we developed VEHICLE, a web‐based tool to validate and explore the results of the hierarchical integration. For the design, we collaborated with a domain expert to identify the underlying domain problems and derive a task and workflow description. The tool combines both traditional and novel visual analysis techniques, employing statistical and map‐based depictions as well as advanced interaction techniques. We showed the usefulness of VEHICLE in two case studies and by conducting an evaluation together with conflict researchers, confirming domain hypotheses and generating new insights.

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Section: Discussionmentioning

confidence: 99%

VEHICLE: Validation and Exploration of the Hierarchical Integration of Conflict Event Data

Mayer¹,

Lawonn

Donnay

et al. 2021

Computer Graphics Forum

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“…Here, data are rendered by a collection of visual objects with a semantic meaning by using metaphors [BKC*13], allowing intuitive and expressive representations of the data. It has been used extensively in the data visualization community, with several studies on glyph design guidelines [BKC*13, MRS*12, War02, CLP*13] and applications to spatial‐temporal data design studies [SvdWvW14, DTW*15, CSB*20, LCP*12]. However, most of the authors prioritize spatial component rather than temporal aspects.…”

Section: Related Workmentioning

confidence: 99%

ComVis‐Sail: Comparative Sailing Performance Visualization for Coaching

Pieras

Marroquim

Broekens

et al. 2022

Computer Graphics Forum

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During training sessions, sailors rely on feedback provided by the coaches to reinforce their skills and improve their performance. Nowadays, the incorporation of sensors on the boats enables coaches to potentially provide more informed feedback to the sailors. A common exercise during practice sessions, consists of two boats of the same class, sailing side by side in a straight line with different boat handling techniques. Coaches try to understand which techniques are that make one boat go faster than the other. The analysis of the obtained data from the boats is challenging given its multi-dimensional, time-varying and spatial nature. At present, coaches only rely on aggregated statistics reducing the complexity of the data, hereby losing local and temporal information. We describe a new domain characterization and present a visualization design that allows coaches to analyse the data, structuring their analysis and explore the data from different perspectives. A central element of the tool is the glyph design to intuitively represent and aggregate multiple aspects of the sensor data. We have conducted multiple user studies with naive users, sailors and coaches to evaluate the design and potential of the overall tool.

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Visualizing the Off-Screen Evolution of Trajectories

Forsch

Amann

Haunert

2022

KN J. Cartogr. Geogr. Inf.

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In the context of volunteered geographic information, large sets of trajectories of humans and animals are collected. Analyzing these trajectories visually is often complicated due to limited display sizes. For instance, when a user chooses a large map scale to inspect the details of a trajectory, only a small part of the trajectory is visible in the map. Therefore, in this article, we present an approach for visualizing the off-screen evolution of trajectories, i.e., their continuation outside of the displayed map. We propose visual cues in the form of glyphs that are displayed at the map’s boundary and that consist of one or multiple disk sectors of varying size and opening angle. These glyphs indicate the direction and variability of direction of a trajectory’s continuation outside the map frame. We present an algorithm for computing the glyphs efficiently and evaluate them in a user study. The results show that the glyphs are intuitive to understand even without explanation. We further present suggestions for improving the glyph design based on the results.

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MotionGlyphs: Visual Abstraction of Spatio‐Temporal Networks in Collective Animal Behavior

Cited by 6 publications

References 72 publications

VEHICLE: Validation and Exploration of the Hierarchical Integration of Conflict Event Data

VEHICLE: Validation and Exploration of the Hierarchical Integration of Conflict Event Data

ComVis‐Sail: Comparative Sailing Performance Visualization for Coaching

Visualizing the Off-Screen Evolution of Trajectories

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