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arXiv 2020年

作者： Buchmüller, Juri F. Schlegel, Udo Cakmak, Eren Dimara, Evanthia Keim, Daniel A. University of Konstanz Data Analysis and Visualization Group Germany

Compact visual summaries of spatio-temporal movement data often strive to express accurate positions of movers. We present SpatialRugs, a technique to enhance the spatial awareness of movements in dense pixel visualizations. SpatialRugs apply 2D colormaps to visualize location mapped to a juxtaposed display. We explore the effect of various colormaps discussing perceptual limitations and introduce a custom color-smoothing method to mitigate distorted patterns of collective movement behavior. Copyright © 2020, The Authors. All rights reserved.

关键词： visualization

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Spherical terrain rendering using the hierarchical HEALPix grid

Spherical terrain rendering using the hierarchical HEALPix g...

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International Research and Training group 1131 Workshop on visualization of Large and Unstructured data Sets: Applications in Geospatial Planning, Modeling and Engineering, VLUDS 2011

作者： Westerteiger, Rolf Gerndt, Andreas Hamann, Bernd Braunschweig Germany CS Department Institute for Data Analysis and Visualization University of California Davis United States Computer Graphics and HCI Group University of Kaiserslautern Germany

ISBN: (纸本)9783939897460

We present an interactive spherical terrain rendering system employing a hierarchical subdivision of the HEALPix coordinate system using quadtrees. Compared to other parameterizations, the scheme avoids singularities and allows for efficient fusion of mixed-resolution digital elevation models and imagery. A Level-of-Detail heuristic is used to guarantee both high performance and visual fidelity. Unified treatment of DEM and imagery data is achieved by performing the HEALPix projection within a GPU shader. The system is applied to the exploration of Mars, using both MOLA (NASA) and HRSC (German Aerospace Center) data sets.

关键词： NASA

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Using visual analytics to provide situation awareness for movement and communication data

Using visual analytics to provide situation awareness for mo...

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IEEE Symposium on Visual Analytics Science and Technology (VAST)

作者： Juri Buchmüller Fabian Fischer Dirk Streeb Daniel A. Keim Data Analysis and Visualization Group University of Konstanz Germany

Analyzing and correlating movement and communication data is challenging. To gather insights and gain knowledge out of such datasets, we propose a visual analytics system. We apply automated clustering techniques and propose a combination of various visualizations to provide overviews. We support the analyst in exploring the data to eventually enhance situational awareness in complex analysis scenarios. To evaluate our approach, we apply our techniques in the context of the VAST 2015 Grand Challenge (GC). Within this challenge, we successfully identify suspicious patterns and interesting groups of distinctive behavior among visitors of an amusement park, and correlate them with their respective communication patterns to gain insights.

关键词： Visual analytics data visualization Heating Electronic mail data analysis Context

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Visual exploration of relationships between document clusters

Visual exploration of relationships between document cluster...

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5th International Conference on Information visualization Theory and Applications, IVAPP 2014

作者： Jusufi, Ilir Kerren, Andreas Liu, Jiayi Zimmer, Björn Linnaeus University Department of Computer Science ISOVIS Group Växjö Sweden Institute for Data Analysis and Visualization Department of Computer Science University of California Davis United States

ISBN: (纸本)9789897580055

The visualization of networks with additional attributes attached to the network elements is one of the ongoing challenges in the information visualization domain. Such so-called multivariate networks regularly appear in various application fields, for instance, in data sets which describe friendship networks or co-authorship networks. Here, we focus on networks that are based on text documents, i.e., the network nodes represent documents and the edges show relationships between them. Those relationships can be derived from common topics or common co-authors. Attached attributes may be specific keywords (topics), keyword frequencies, etc. The analysis of such multivariate networks is challenging, because a deeper understanding of the data provided depends on effective visualization and interaction techniques that are able to bring all types of information together. In addition, automatic analysis methods should be used to support the analysis process of potentially large amounts of data. In this paper, we present a visualization approach that tackles those analysis problems. Our implementation provides a combination of new techniques that shows intra-cluster and inter-cluster relations while giving insight into the content of the cluster attributes. Hence, it facilitates the interactive exploration of the networks under consideration by showing the relationships between node clusters in context of network topology and multivariate attributes.

关键词： visualization

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Human Factors in Information visualization and Decision Support Systems

Human Factors in Information Visualization and Decision Supp...

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Mensch und Computer 2016, MuC 2016 - Workshopband - Human and Computer 2016, MuC 2016 - Workshop Proceedings

作者： Valdez, André Calero Brauner, Philipp Ziefle, Martina Kuhlen, Torsten Wolfgang Sedlmair, Michael Human-Computer Interaction Center RWTH Aachen University Germany Visual Computing Institute RWTH Aachen University Germany Visualization and Data Analysis Group TU Wien Austria

With the increase in data availability and data volume it becomes increasingly important to extract information and actionable knowledge from data. Information visualization helps the user to understand data by utilizing vision as a relatively parallel input channel to the user’s mind. Decision Support systems on the other hand help users in making information actionable, by suggesting beneficial decisions and presenting them in context. Both fields share a common need for understanding the interface between the computer and the human. This makes human factors research critical for both fields. Understanding limitations of human perception, cognition and action, as well as their variance must be understood to fully leverage information visualization and decision support. This article reflects on research agendas for investigating human factors in the aforementioned fields. Copyright © 2016 bei den Autoren.

关键词： Decision support systems

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Feature-based visualization of dense integral line data

Feature-based visualization of dense integral line data

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International Research and Training group 1131 Workshop on visualization of Large and Unstructured data Sets: Applications in Geospatial Planning, Modeling and Engineering, VLUDS 2011

作者： Schröder, Simon Obermaier, Harald Garth, Christoph Joy, Kenneth I. Computer Graphics and HCI Group University of Kaiserslautern Germany Fraunhofer ITWM Kaiserslautern Germany Computational Topology Group University of Kaiserslautern Germany Institute for Data Analysis and Visualization University of California Davis United States

ISBN: (纸本)9783939897460

Feature-based visualization of flow fields has proven as an effective tool for flow analysis. While most flow visualization techniques operate on vector field data, our visualization techniques make use of a different simulation output: Particle Tracers. Our approach solely relies on integral lines that can be easily obtained from most simulation software. The task is the visualization of dense integral line data. We combine existing methods for streamline visualization, i. e. illumination, transparency, and halos, and add ambient occlusion for lines. But, this only solves one part of the problem: because of the high density of lines, visualization has to fight with occlusion, high frequency noise, and overlaps. As a solution we propose non-automated choices of transfer functions on curve properties that help highlighting important flow features like vortices or turbulent areas. These curve properties resemble some of the original flow properties. With the new combination of existing line drawing methods and the addition of ambient occlusion we improve the visualization of lines by adding better shape and depth cues. The intelligent use of transfer functions on curve properties reduces visual clutter and helps focusing on important features while still retaining context, as demonstrated in the examples given in this work.

关键词： Transfer functions

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Event identification for local areas using social media streaming data

Event identification for local areas using social media stre...

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3rd ACM SIGMOD Workshop on databases and Social Networks, DBSocial 2013

作者： Weiler, Andreas Scholl, Marc H. Wanner, Franz Rohrdantz, Christian Database and Information Systems Group University of Konstanz Box D188 78457 Konstanz Germany Data Analysis and Visualization Group University of Konstanz Box D78 78457 Konstanz Germany

ISBN: (纸本)9781450321914

Unprecedented success and active usage of social media services result in massive amounts of user-generated data. An increasing interest in the contained information from social media data leads to more and more sophisticated analysis and visualization applications. Because of the fast pace and distribution of news in social media data it is an appropriate source to identify events in the data and directly display their occurrence to analysts or other users. This paper presents a method for event identification in local areas using the Twitter data stream. We implement and use a combined log-likelihood ratio approach for the geographic and time dimension of real-life Twitter data in predefined areas of the world to detect events occurring in the message contents. We present a case study with two interesting scenarios to show the usefulness of our approach. Copyright 2013 ACM.

关键词： Media streaming

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ZAPP - A management framework for distributed visualization systems

ZAPP - A management framework for distributed visualization ...

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IADIS International Conference Computer Graphics, visualization, Computer Vision and Image Processing 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011

作者： Tamm, Georg Schiewe, Alexander Krüger, Jens Interactive Visualization and Data Analysis Group DFKI Saarbrücken Germany Intel Visual Computing Institute Saarbrücken Germany SCI Institute Salt Lake City United States

ISBN: (纸本)9789728939489

In this work we present the ZAPP, a management framework for distributed visualization systems. The main purpose of ZAPP is to improve the user, administrator, and developer experience in dealing with distributed displays. Even a single user with no administrative knowledge can operate a ZAPP-managed display system. The goal is that practically anyone is capable of operating the display with less than two minutes of training. To achieve this we present a lightweight management framework that links and controls the render workstations, which drive the displays, but also connects to the user's very own mobile devices, such as smartphones or tablets, to enable convenient control over the display. Consequently, the users never need to leave their familiar hardware and operating system environments and can use distributed displays without external help. © 2011 IADIS.

关键词： Display devices

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Mass-dependent integral curves in unsteady vector fields

Mass-dependent integral curves in unsteady vector fields

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15th Eurographics Conference on visualization, EuroVis 2013

作者： Günther, Tobias Kuhn, Alexander Kutz, Benjamin Theisel, Holger Visual Computing Group University of Magdeburg Germany Visualization and Data Analysis Zuse Institute Berlin Germany Institute of Aerodynamics and Gas Dynamics University of Stuttgart Germany

Recent research in flow visualization is focusing on the analysis of time-dependent, but mass-less particles. However, in many application scenarios, the mass of particles and their resulting inertia - is essential in understanding fluid mechanics. This includes critical processes, such as dust particles interacting with aircraft (e.g., brownor white-out effects) and particle separation based on density variation. In this paper, we contribute a generalized description of mass-dependent particle trajectories and apply existing unsteady flow visualization methods to the mass-dependent case. This comprises the extension of common concepts, i.e., path lines, streak lines, and time lines. Furthermore, we introduce a new class of integral curves, called mass lines that effectively visualizes mass separation and captures mass-related features in unsteady flow fields that are inaccessible using traditional methods. We demonstrate the applicability of our method, using a number of real-world and artificial data sets, in which mass is a crucial parameter. In particular, we focus on the analysis of brown-out conditions, introduced by a helicopter in forward flight close to the ground. © 2013 The Author(s).

关键词： Flow visualization

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Leaf glyphs: Story telling and data analysis using environmental data glyph metaphors

Communications in Computer and Information Science

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Communications in Computer and Information Science 2016年 598卷 123-143页

作者： Fuchs, Johannes Jäckle, Dominik Weiler, Niklas Schreck, Tobias Data Analysis and Visualization Group University of Konstanz Universitätstr. 10 Konstanz78457 Germany

In exploratory data analysis, important analysis tasks include the assessment of similarity of data points, labeling of outliers, identifying and relating groups in data, and more generally, the detection of patterns. Specifically, for large data sets, such tasks may be effectively addressed by glyph-based visualizations. Appropriately defined glyph designs and layouts may represent collections of data to address these aforementioned tasks. Important problems in glyph visualization include the design of compact glyph representations, and a similarityor structure-preserving 2D layout. Projection-based techniques are commonly used to generate layouts, but often suffer from over-plotting in 2D display space, which may hinder comparing and relating tasks. Inspired by contour and venation shapes of natural leafs, and their aggregation by stems, we introduce a novel glyph design for visualizing multi-dimensional data. Motivated by the human ability to visually discriminate natural shapes like trees in a forest, single flowers in a flowerbed, or leaves at shrubs, we design a flexible leaf-shaped data glyph, where data controls main leaf properties including leaf morphology, leaf venation, and leaf boundary shape. Our basic leaf glyph can map to more than a dozen of numeric and categorical variables. We also define custom visual aggregation schemes to scale the glyph for large numbers of data records, including prototype-based, set-based, and hierarchic aggregation. We show by example that our design is effectively interpretable to solve multivariate data analysis tasks, and provides effective data mapping. The design provides an aesthetically pleasing appearance, and lends itself easily to storytelling in environmental data analysis problems, among others. The glyph and its aggregation schemes are proposed as a scalable multivariate data visualization design, with applications in data visualization for mass media and data journalism, among others. © Springer International

关键词： visualization

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