The Visualization Input Pipeline ‐ Enabling Semantic Interaction in Scientific Visualization

Felger, Wolfgang; Schröder, Florian

doi:10.1111/1467-8659.1130139

Cited by 12 publications

(4 citation statements)

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“…For instance, Felger and Schröder [27] in the visualization input pipeline (VIP) describe linked cursors, another example of linked navigation is by Plumlee and Ware [47]. Other forms of navigation include data probing, as implemented within both LinkWinds [32] and KBVision [4] and changing the viewport information, as accomplished in SciAn [44] and Visage [57] which provide coordinated manipulation of 3D views.…”

Section: Tools and Toolkitsmentioning

confidence: 99%

State of the Art: Coordinated & Multiple Views in Exploratory Visualization

Roberts

2007

Fifth International Conference on Coordinated and Multiple Views in Exploratory Visualization (CMV 2007)

514

297

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The area of Coordinated and Multiple Views has been steadily developing and maturing over the past fifteen years. Some may say that it is a 'solved problem', while others argue that we are only just scratching the surface of the subject. Considering merely the CMV conference series, it is clear to see that in the early years researchers were concerned with models and techniques, while in latter years authors presented more work on how to apply these ideas to different domains. It is our view that there is still much research to be done, but the subject is changing and developing as a tool for Visual Analytics. This paper provides the 'state of the art' of CMV, it describes areas that should be developed further and looks at what the future may hold for Coordinated and Multiple Views.

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Section: Tools and Toolkitsmentioning

confidence: 99%

State of the Art: Coordinated & Multiple Views in Exploratory Visualization

Roberts

2007

Fifth International Conference on Coordinated and Multiple Views in Exploratory Visualization (CMV 2007)

514

297

View full text Add to dashboard Cite

show abstract

“…If connected this way, the values of parameters are synchronized. Demand-driven approaches provide the option to upstream information through the data-flow [18], enabling interaction with visualizations [21]. In Improvise [46], the coordination between views is configured using relational expressions and can then be visualized as a coordination graph.…”

Section: Related Workmentioning

confidence: 99%

Nodes on Ropes: A Comprehensive Data and Control Flow for Steering Ensemble Simulations

Waser

Ribicic

Fuchs

et al. 2011

IEEE Trans. Visual. Comput. Graphics

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Flood disasters are the most common natural risk and tremendous efforts are spent to improve their simulation and management. However, simulation-based investigation of actions that can be taken in case of flood emergencies is rarely done. This is in part due to the lack of a comprehensive framework which integrates and facilitates these efforts. In this paper, we tackle several problems which are related to steering a flood simulation. One issue is related to uncertainty. We need to account for uncertain knowledge about the environment, such as levee-breach locations. Furthermore, the steering process has to reveal how these uncertainties in the boundary conditions affect the confidence in the simulation outcome. Another important problem is that the simulation setup is often hidden in a black-box. We expose system internals and show that simulation steering can be comprehensible at the same time. This is important because the domain expert needs to be able to modify the simulation setup in order to include local knowledge and experience. In the proposed solution, users steer parameter studies through the World Lines interface to account for input uncertainties. The transport of steering information to the underlying data-flow components is handled by a novel meta-flow. The meta-flow is an extension to a standard data-flow network, comprising additional nodes and ropes to abstract parameter control. The meta-flow has a visual representation to inform the user about which control operations happen. Finally, we present the idea to use the data-flow diagram itself for visualizing steering information and simulation results. We discuss a case-study in collaboration with a domain expert who proposes different actions to protect a virtual city from imminent flooding. The key to choosing the best response strategy is the ability to compare different regions of the parameter space while retaining an understanding of what is happening inside the data-flow system.

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“…Objects, such as pointers, annotations or metainformation, may be coupled. For instance, the developers of the visualization input pipeline (VIP) (Felger and Schröder, 1992) describe an example that displays several views of the data with the cursors linked together; movement of one pointer causes the others to move correspondingly. Other forms of navigation include data probing, as implemented within both LinkWinds (Jacobson et al, 1994) and KBVision (Amerinex, 1992), and changing the viewport information, as accomplished in SciAn (Pepke and Lyons, 1993) and Visage (Roth et al, 1996), which provide coordinated manipulation of 3D views.…”

Section: Article In Pressmentioning

confidence: 99%

Exploratory Visualization with Multiple Linked Views

Roberts

2005

Exploring Geovisualization

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Exploratory visualization enables the user to test scenarios and investigate possibilities. Through an exploration, the user may change various parameter values of a visualization system that in turn alters the appearance of the visual result. For example, the changes made may update what information is being displayed, the quantity or resolution of the information, the type of the display (say) from scatter plot to line-graph. Furthermore, the user may generate additional windows that contain the visual result of the new parameters so they can compare different ideas side-by-side (these multiple views may persist such that the user can compare previous incarnations). Commonly these windows are linked together to allow further investigation and discovery, such as selection by brushing or combined navigation. There are many challenges, such as linking multiple views with different data, initializing the different views, indicating to the user how the different views are linked. This chapter provides a review of current multiple linked-view tools, methodologies and models, discusses related challenges and ideas, and provides some rudiments for coordination within a geovisualization context. The types and uses of coordination for exploratory visualization are varied and diverse, these ideas are underused in geovisualization and exploratory visualization in general. Thus, further research needs to occur to develop specific geovisualization reference models and extensible systems that incorporate the rich variety of possible coordination exploration ideas. IntroductionThis chapter advocates the use of many lightweight views that are linked together. They are lightweight in that they are: (i) easy to generate by the user, where the user does not spend unnecessary time and effort to explicitly link the new view to existing ones; and (ii) do not take many computer resources (e.g., memory, computation). Such multiple linked

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The Visualization Input Pipeline ‐ Enabling Semantic Interaction in Scientific Visualization

Cited by 12 publications

References 0 publications

State of the Art: Coordinated & Multiple Views in Exploratory Visualization

State of the Art: Coordinated & Multiple Views in Exploratory Visualization

Nodes on Ropes: A Comprehensive Data and Control Flow for Steering Ensemble Simulations

Exploratory Visualization with Multiple Linked Views

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The Visualization Input Pipeline ‐ Enabling Semantic Interaction in Scientific Visualization

Cited by 12 publications

References 0 publications

State of the Art: Coordinated &amp; Multiple Views in Exploratory Visualization

State of the Art: Coordinated &amp; Multiple Views in Exploratory Visualization

Nodes on Ropes: A Comprehensive Data and Control Flow for Steering Ensemble Simulations

Exploratory Visualization with Multiple Linked Views

Contact Info

Product

Resources

About

State of the Art: Coordinated & Multiple Views in Exploratory Visualization

State of the Art: Coordinated & Multiple Views in Exploratory Visualization