Literature DB >> 20975187

World lines.

Jürgen Waser1, Raphael Fuchs, Hrvoje Ribicić, Benjamin Schindler, Günther Blöschl, Eduard Gröller.   

Abstract

In this paper we present World Lines as a novel interactive visualization that provides complete control over multiple heterogeneous simulation runs. In many application areas, decisions can only be made by exploring alternative scenarios. The goal of the suggested approach is to support users in this decision making process. In this setting, the data domain is extended to a set of alternative worlds where only one outcome will actually happen. World Lines integrate simulation, visualization and computational steering into a single unified system that is capable of dealing with the extended solution space. World Lines represent simulation runs as causally connected tracks that share a common time axis. This setup enables users to interfere and add new information quickly. A World Line is introduced as a visual combination of user events and their effects in order to present a possible future. To quickly find the most attractive outcome, we suggest World Lines as the governing component in a system of multiple linked views and a simulation component. World Lines employ linking and brushing to enable comparative visual analysis of multiple simulations in linked views. Analysis results can be mapped to various visual variables that World Lines provide in order to highlight the most compelling solutions. To demonstrate this technique we present a flooding scenario and show the usefulness of the integrated approach to support informed decision making.

Year:  2010        PMID: 20975187     DOI: 10.1109/TVCG.2010.223

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  7 in total

1.  From Quantification to Visualization: A Taxonomy of Uncertainty Visualization Approaches.

Authors:  Kristin Potter; Paul Rosen; Chris R Johnson
Journal:  IFIP Adv Inf Commun Technol       Date:  2012

2.  Design by dragging: an interface for creative forward and inverse design with simulation ensembles.

Authors:  Dane Coffey; Chi-Lun Lin; Arthur G Erdman; Daniel F Keefe
Journal:  IEEE Trans Vis Comput Graph       Date:  2013-12       Impact factor: 4.579

3.  Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration.

Authors:  A Wentzel; P Hanula; T Luciani; B Elgohari; H Elhalawani; G Canahuate; D Vock; C D Fuller; G E Marai
Journal:  IEEE Trans Vis Comput Graph       Date:  2019-08-22       Impact factor: 4.579

4.  Trend-Centric Motion Visualization: Designing and Applying a New Strategy for Analyzing Scientific Motion Collections.

Authors:  David Schroeder; Fedor Korsakov; Carissa Mai-Ping Knipe; Lauren Thorson; Arin M Ellingson; David Nuckley; John Carlis; Daniel F Keefe
Journal:  IEEE Trans Vis Comput Graph       Date:  2014-12       Impact factor: 4.579

5.  MOSBIE: a tool for comparison and analysis of rule-based biochemical models.

Authors:  John E Wenskovitch; Leonard A Harris; Jose-Juan Tapia; James R Faeder; G Elisabeta Marai
Journal:  BMC Bioinformatics       Date:  2014-09-25       Impact factor: 3.169

6.  Bento Box: An Interactive and Zoomable Small Multiples Technique for Visualizing 4D Simulation Ensembles in Virtual Reality.

Authors:  Seth Johnson; Daniel Orban; Hakizumwami Birali Runesha; Lingyu Meng; Bethany Juhnke; Arthur Erdman; Francesca Samsel; Daniel F Keefe
Journal:  Front Robot AI       Date:  2019-07-23

7.  Visual Parameter Selection for Spatial Blind Source Separation.

Authors:  N Piccolotto; M Bögl; C Muehlmann; K Nordhausen; P Filzmoser; S Miksch
Journal:  Comput Graph Forum       Date:  2022-07-29       Impact factor: 2.363

  7 in total

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