Multiple view and multiform visualization

Visualization is about discovery and understanding; the user wishes to gain a correct insight into the underlying information, to explore and analyze how different parts are related. Thus, presentation, exploration and explanation tools are used with manipulation and investigative techniques to display, discover and gain a 'correct dissemination' of the information. Moreover, by displaying the information simultaneously in multiple ways the user is aided in their investigation. Such multiform techniques may be generated through various algorithms; we organize these methods according to how they apply to the individual stages of the dataflow paradigm. These multiforms may be displayed in separate windows. Multiple views are useful (1) to overcome misinterpretations and provide additional insight, (2) for scientific exploration tasks of relating, coupling and to aid the 'drilling down' of information, and (3) to provide alter-native viewpoints by expressing different user-interpretations of the same information. Finally, to use multiple views effectively they should be, among other things, easily created, automatically coupled to other views and dynamically manipulated.

[1]  Allan S. Jacobson,et al.  LinkWinds: interactive scientific data analysis and visualization , 1994, CACM.

[2]  Matthew O. Ward,et al.  High Dimensional Brushing for Interactive Exploration of Multivariate Data , 1995, Proceedings Visualization '95.

[3]  Jonathan C. Roberts,et al.  Alternative Archaeological Representations within Virtual Worlds , 1997 .

[4]  Ken Brodlie,et al.  GRASPARC-A problem solving environment integrating computation and visualization , 1993, Proceedings Visualization '93.

[5]  Edward R. Tufte,et al.  Visual Explanations: Images and Quantities, Evidence and Narrative , 1997 .

[6]  David S. Ebert,et al.  Grouping Volume Renderers for Enhanced Visualization in Computational Fluid Dynamics , 1995, IEEE Trans. Vis. Comput. Graph..

[7]  Andreas Buja,et al.  Interactive data visualization using focusing and linking , 1991, Proceeding Visualization '91.

[8]  Patricia Costigan-Eaves,et al.  Edward R. Tufte The visual display of quantitative information , 1984 .

[9]  Michael Stonebraker,et al.  Tioga: A database-oriented visualization tool , 1993, Proceedings Visualization '93.

[10]  Jacques Bertin,et al.  Graphics and graphic information-processing , 1981 .

[11]  John J. Bertin,et al.  The semiology of graphics , 1983 .

[12]  M. Sheelagh T. Carpendale,et al.  Extending Distortion Viewing from 2D to 3D , 1997, IEEE Computer Graphics and Applications.

[13]  Donald P. Greenberg,et al.  Perceiving spatial relationships in computer-generated images , 1992, IEEE Computer Graphics and Applications.

[14]  Matthew O. Ward,et al.  XmdvTool: integrating multiple methods for visualizing multivariate data , 1994, Proceedings Visualization '94.

[15]  Hans-Georg Pagendarm,et al.  Comparative Visualization - Approaches and Examples , 1994 .

[16]  M. Sheelagh T. Carpendale,et al.  Distortion viewing techniques for 3-dimensional data , 1996, Proceedings IEEE Symposium on Information Visualization '96.

[17]  A. Globus,et al.  Fourteen Ways to Say Nothing with Scientific Visualization , 1994, Computer.

[18]  David H. Laidlaw,et al.  The application visualization system: a computational environment for scientific visualization , 1989, IEEE Computer Graphics and Applications.

[19]  B. Marx The Visual Display of Quantitative Information , 1985 .

[20]  Steven F. Roth,et al.  SDM: selective dynamic manipulation of visualizations , 1995, UIST '95.

[21]  James Patten,et al.  A Graph Based Interface for Representing Volume Visualization Results , 1998, Graphics Interface.

[22]  W. E. Lorenson Geometric Clipping Using Boolean Textures , 1993, IEEE Visualization.

[23]  Alex T. Pang,et al.  Approaches to uncertainty visualization , 1996, The Visual Computer.

[24]  Jonathan C. Roberts Encouraging coupled views for visualization exploration , 1999, Electronic Imaging.

[25]  Gudrun Klinker An environment for telecollaborative data exploration , 1993, Proceedings Visualization '93.

[26]  Jonathan C. Roberts Waltz: an exploratory visualization tool for volume data using multiform abstract displays , 1998, Electronic Imaging.

[27]  Cláudio T. Silva,et al.  VolVis: a diversified volume visualization system , 1994, Proceedings Visualization '94.

[28]  Theo van Walsum,et al.  Feature Extraction and Iconic Visualization , 1996, IEEE Trans. Vis. Comput. Graph..

[29]  Deborah Silver,et al.  Object-oriented visualization , 1995, IEEE Computer Graphics and Applications.