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Vis-a-Vis: Visual Exploration of visualization Source Code Evolution

IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2021年第7期27卷 3153-3167页

作者： Bolte, Fabian Bruckner, Stefan Univ Bergen Dept Informat N-5007 Bergen Norway

Developing an algorithm for a visualization prototype often involves the direct comparison of different development stages and design decisions, and even minor modifications may dramatically affect the results. While existing development tools provide visualizations for gaining general insight into performance and structural aspects of the source code, they neglect the central importance of result images unique to graphical algorithms. In this article, we present a novel approach that enables visualization programmers to simultaneously explore the evolution of their algorithm during the development phase together with its corresponding visual outcomes by providing an automatically updating meta visualization. Our interactive system allows for the direct comparison of all development states on both the visual and the source code level, by providing easy to use navigation and comparison tools. The on-the-fly construction of difference images, source code differences, and a visual representation of the source code structure further enhance the user's insight into the states' interconnected changes over time. Our solution is accessible via a web-based interface that provides GPU-accelerated live execution of C++ and GLSL code, as well as supporting a domain-specific programming language for scientific visualization.

关键词： data visualization visualization Tools Software Pipelines Task analysis History visualization system and toolkit design user interfaces integrating spatial and non-spatial data visualization software visualization

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Dynamic Collaborative visualization Ecosystem to Support the Analysis of Large-Scale Disparate data

Dynamic Collaborative Visualization Ecosystem to Support the...

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IEEE International Conference on Big data (Big data)

作者： Koehler, Christopher Berger, Andrew Rajashekar, Raksha Wischgoll, Thomas Su, Simon Universal Technol Corp Data Analyt Div Dayton OH 45432 USA Wright State Univ Comp Sci Dept Dayton OH 45435 USA Us Army Res Lab DoD Supercomp Resource Ctr Adelphi MD USA

ISBN: (纸本)9781728108582

There is no one display device or software package that is ideally suited for interactively visualizing related nonspatial, 1D, 2D, 3D, and 4D datasets This is a major drawback, as the benefits of interactive visualization and advanced display technologies cannot be brought to hear. The Dynamic Collaborative visualization Ecosystem (DynaCoVE) framework addresses this limitation by unifying SciVis, InfoVis, and display technology tools. Pre-existing packages are wrapped as DynaCoVE clients. This entails tracking user interactions with their GUI's and also automatically updating them in response to cues from the DynaCoVE server. The DynaCoVE server then acts as a message broker between many collaborating clients. A messaging protocol was defined based on ZcroMQ's majordomo protocol to enable efficient communication between clients and the server. Thus, visualization software packages that were never intended to be used together can be linked to perform cross display visual analytics. The system is intended to be data and user centric while remaining software, algorithm and display agnostic. This is accomplished in part by providing a common meta visualization graph interface to setup cross-display visualizations. To date DynaCoVE clients for Looker, Visit, and VTK have been tested together with traditional monitors, tiled displays, and an immersive CAVE-type system.

关键词： data fusion and integration large and high-res displays collaborative and distributed visualization integrating spatial and non-spatial data visualization coordinated and multiple views

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CasCADe: A Novel 4D visualization System for Virtual Construction Planning

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2018年第1期24卷 687-697页

作者： Ivson, Paulo Nascimento, Daniel Celes, Waldemar Barbosa, Simone D. J. Pontificia Univ Catolica Rio de Janeiro Tecgraf Inst Rio de Janeiro Brazil Pontificia Univ Catolica Rio de Janeiro Informat Dept Rio de Janeiro Brazil

Building Information Modeling (BIM) provides an integrated 3D environment to manage large-scale engineering projects. The Architecture, Engineering and Construction (AEC) industry explores 4D visualizations over these datasets for virtual construction planning. However, existing solutions lack adequate visual mechanisms to inspect the underlying schedule and make inconsistencies readily apparent. The goal of this paper is to apply best practices of information visualization to improve 4D analysis of construction plans. We first present a review of previous work that identifies common use cases and limitations. We then consulted with AEC professionals to specify the main design requirements for such applications. These guided the development of CasCADe, a novel 4D visualization system where task sequencing and spatio-temporal simultaneity are immediately apparent. This unique framework enables the combination of diverse analytical features to create an information-rich analysis environment. We also describe how engineering collaborators used CasCADe to review the real-world construction plans of an Oil & Gas process plant. The system made evident schedule uncertainties, identified work-space conflicts and helped analyze other constructability issues. The results and contributions of this paper suggest new avenues for future research in information visualization for the AEC industry.

关键词： visualization in physical sciences and engineering design studies integrating spatial and non-spatial data visualization task and requirements analysis

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Vis-A-Ware: integrating spatial and non-spatial visualization for Visibility-Aware Urban Planning

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2017年第2期23卷 1139-1151页

作者： Ortner, Thomas Sorger, Johannes Steinlechner, Harald Hesina, Gerd Piringer, Harald Groeller, Eduard VRVis Res Ctr A-1220 Vienna Austria TU Wien A-1040 Vienna Austria

3D visibility analysis plays a key role in urban planning for assessing the visual impact of proposed buildings on the cityscape. A call for proposals typically yields around 30 candidate buildings that need to be evaluated with respect to selected viewpoints. Current visibility analysis methods are very time-consuming and limited to a small number of viewpoints. Further, analysts neither have measures to evaluate candidates quantitatively, nor to compare them efficiently. The primary contribution of this work is the design study of Vis-A-Ware, a visualization system to qualitatively and quantitatively evaluate, rank, and compare visibility data of candidate buildings with respect to a large number of viewpoints. Vis-A-Ware features a 3D spatial view of an urban scene and non-spatial views of data derived from visibility evaluations, which are tightly integrated by linked interaction. To enable a quantitative evaluation we developed four metrics in accordance with experts from urban planning. We illustrate the applicability of Vis-A-Ware on the basis of a use case scenario and present results from informal feedback sessions with domain experts from urban planning and development. This feedback suggests that Vis-A-Ware is a valuable tool for visibility analysis allowing analysts to answer complex questions more efficiently and objectively.

关键词： Geographic/geospatial visualization visual analytics integrating spatial and non-spatial data visualization focus plus context techniques coordinated and multiple views

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A Fractional Cartesian Composition Model for Semi-spatial Comparative visualization Design

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2017年第1期23卷 851-860页

作者： Kolesar, Ivan Bruckner, Stefan Viola, Ivan Hauser, Helwig Univ Bergen Dept Informat N-5008 Bergen Norway TU Wien Vienna Austria

The study of spatial data ensembles leads to substantial visualization challenges in a variety of applications. In this paper, we present a model for comparative visualization that supports the design of according ensemble visualization solutions by partial automation. We focus on applications, where the user is interested in preserving selected spatial data characteristics of the data as much as possible-even when many ensemble members should be jointly studied using comparative visualization. In our model, we separate the design challenge into a minimal set of user-specified parameters and an optimization component for the automatic configuration of the remaining design variables. We provide an illustrated formal description of our model and exemplify our approach in the context of several application examples from different domains in order to demonstrate its generality within the class of comparative visualization problems for spatial data ensembles.

关键词： visualization Models integrating spatial and non-spatial data visualization Design Methodologies

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LiteVis: Integrated visualization for Simulation-Based Decision Support in Lighting Design

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2016年第1期22卷 290-299页

作者： Sorger, Johannes Ortner, Thomas Luksch, Christian Schwaerzler, Michael Groeller, Eduard Piringer, Harald VRVis Res Ctr Vienna Austria TU Wien Vienna Austria

State-of-the-art lighting design is based on physically accurate lighting simulations of scenes such as offices. The simulation results support lighting designers in the creation of lighting configurations, which must meet contradicting customer objectives regarding quality and price while conforming to industry standards. However, current tools for lighting design impede rapid feedback cycles. On the one side, they decouple analysis and simulation specification. On the other side, they lack capabilities for a detailed comparison of multiple configurations. The primary contribution of this paper is a design study of LiteVis, a system for efficient decision support in lighting design. LiteVis tightly integrates global illumination-based lighting simulation, a spatial representation of the scene, and non-spatial visualizations of parameters and result indicators. This enables an efficient iterative cycle of simulation parametrization and analysis. Specifically, a novel visualization supports decision making by ranking simulated lighting configurations with regard to a weight-based prioritization of objectives that considers both spatial and non-spatial characteristics. In the spatial domain, novel concepts support a detailed comparison of illumination scenarios. We demonstrate LiteVis using a real-world use case and report qualitative feedback of lighting designers. This feedback indicates that LiteVis successfully supports lighting designers to achieve key tasks more efficiently and with greater certainty.

关键词： integrating spatial and non-spatial data visualization visualization in Physical Sciences and Engineering Coordinated and Multiple Views Visual Knowledge Discovery

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Trend-Centric Motion visualization: Designing and Applying a new Strategy for Analyzing Scientific Motion Collections

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2014年第12期20卷 2644-2653页

作者： Schroeder, David Korsakov, Fedor Knipe, Carissa Mai-Ping Thorson, Lauren Ellingson, Arin M. Nuckley, David Carlis, John Keefe, Daniel F. Univ Minnesota Minneapolis MN 55455 USA Minneapolis Coll Art & Design Minneapolis MN 55404 USA Mayo Clin Dept Orthoped Surg Rochester MN USA

In biomechanics studies, researchers collect, via experiments or simulations, datasets with hundreds or thousands of trials, each describing the same type of motion (e.g., a neck flexion-extension exercise) but under different conditions (e.g.;different patients, different disease states, pre- and post-treatment). Analyzing similarities and differences across all of the trials in these collections is a major challenge. Visualizing a single trial at a time does not work, and the typical alternative of juxtaposing multiple trials in a single visual display leads to complex, difficult-to-interpret visualizations. We address this problem via a new strategy that organizes the analysis around motion trends rather than trials. This new strategy matches the cognitive approach that scientists would like to take when analyzing motion collections. We introduce several technical innovations making trend-centric motion visualization possible. First, an algorithm detects a motion collection's trends via time-dependent clustering. Second, a 2D graphical technique visualizes how trials leave and join trends. Third, a 3D graphical technique, using a median 3D motion plus a visual variance indicator, visualizes the biomechanics of the set of trials within each trend. These innovations are combined to create an interactive exploratory visualization tool, which we designed through an iterative process in collaboration with both domain scientists and a traditionally-trained graphic designer. We report on insights generated during this design process and demonstrate the tool's effectiveness via a validation study with synthetic data and feedback from expert musculoskeletal biomechanics researchers who used the tool to analyze the effects of disc degeneration on human spinal kinematics.

关键词： Design studies focus plus context techniques integrating spatial and non-spatial data visualization visual design biomedical and medical visualization

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GRACE: A Visual Comparison Framework for Integrated spatial and non-spatial Geriatric data

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2013年第12期19卷 2916-2925页

作者： Maries, Adrian Mays, Nathan Hunt, Megan Olson Wong, Kim F. Layton, William Boudreau, Robert Rosano, Caterina Marai, G. Elisabeta Univ Pittsburgh Dept Comp Sci Pittsburgh PA 15260 USA Wheeling Jesuit Univ Dept Math Wheeling WV USA Univ Pittsburgh Grad Sch Publ Hlth Dept Biostat Pittsburgh PA 15260 USA Univ Pittsburgh Ctr Simulat & Modeling Pittsburgh PA 15260 USA Univ Pittsburgh Dept Math Pittsburgh PA 15260 USA Univ Pittsburgh Dept Epidemiol Grad Sch Publ Hlth Pittsburgh PA 15260 USA

We present the design of a novel framework for the visual integration, comparison, and exploration of correlations in spatial and non-spatial geriatric research data. These data are in general high-dimensional and span both the spatial, volumetric domain through magnetic resonance imaging volumes - and the non-spatial domain, through variables such as age, gender, or walking speed. The visual analysis framework blends medical imaging, mathematical analysis and interactive visualization techniques, and includes the adaptation of Sparse Partial Least Squares and iterated Tikhonov Regularization algorithms to quantify potential neurology-mobility connections. A linked-view design geared specifically at interactive visual comparison integrates spatial and abstract visual representations to enable the users to effectively generate and refine hypotheses in a large, multidimensional, and fragmented space. In addition to the domain analysis and design description, we demonstrate the usefulness of this approach on two case studies. Last, we report the lessons learned through the iterative design and evaluation of our approach, in particular those relevant to the design of comparative visualization of spatial and non-spatial data.

关键词： Design studies methodology design task and requirements analysis integrating spatial and non-spatial data visualization visual comparison high-dimensional data applications of visualization

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Continuous Parallel Coordinates

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2009年第6期15卷 1531-1538页

作者： Heinrich, Julian Weiskopf, Daniel Univ Stuttgart VISUS Visualizat Res Ctr D-70569 Stuttgart Germany

Typical scientific data is represented on a grid with appropriate interpolation or approximation schemes, defined on a continuous domain. The visualization of such data in parallel coordinates may reveal patterns latently contained in the data and thus can improve the understanding of multidimensional relations. In this paper, we adopt the concept of continuous scatterplots for the visualization of spatially continuous input data to derive a density model for parallel coordinates. Based on the point-line duality between scatterplots and parallel coordinates, we propose a mathematical model that maps density from a continuous scatterplot to parallel coordinates and present different algorithms for both numerical and analytical computation of the resulting density field. In addition, we show how the 2-D model can be used to successively construct continuous parallel coordinates with an arbitrary number of dimensions. Since continuous parallel coordinates interpolate data values within grid cells, a scalable and dense visualization is achieved, which will be demonstrated for typical multi-variate scientific data.

关键词： Parallel coordinates integrating spatial and non-spatial data visualization multi-variate visualization interpolation

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Continuous Parallel Coordinates

Continuous Parallel Coordinates

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IEEE Information visualization Conference/IEEE visualization Conference

作者： Heinrich, Julian Weiskopf, Daniel Univ Stuttgart VISUS Visualizat Res Ctr D-70569 Stuttgart Germany

关键词： Parallel coordinates integrating spatial and non-spatial data visualization multi-variate visualization interpolation

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