Building Highly-Coordinated Visualizations in Improvise

Improvise is a fully-implemented system in which users build and browse multiview visualizations interactively using a simple shared-object coordination mechanism coupled with a flexible, expression-based visual abstraction language. By coupling visual abstraction with coordination, users gain precise control over how navigation and selection in the visualization affects the appearance of data in individual views. As a result, it is practical to build visualizations with more views and richer coordination in Improvise than in other visualization systems. Building and browsing activities are integrated in a single, live user interface that lets users alter visualizations quickly and incrementally during data exploration

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

[2]  Mark S. Ackerman,et al.  A construction set for multimedia applications , 1989, IEEE Software.

[3]  Jussi Myllymaki,et al.  DEVise: Integrated Querying and Visualization of Large Datasets , 1997, SIGMOD Conference.

[4]  Ben Shneiderman,et al.  Image-Browser Taxonomy and Guidelines for Designers , 1995, IEEE Softw..

[5]  Jock D. Mackinlay,et al.  Automating the design of graphical presentations of relational information , 1986, TOGS.

[6]  Peter J. Rodgers,et al.  A Model and Software System for Coordinated and Multiple Views in Exploratory Visualization , 2003, Inf. Vis..

[7]  Christopher Ahlberg,et al.  IVEE: an environment for automatic creation of dynamic queries applications , 1995, CHI '95.

[8]  Ben Shneiderman,et al.  Visual information seeking: tight coupling of dynamic query filters with starfield displays , 1994, CHI '94.

[9]  Pat Hanrahan,et al.  Multiscale Visualization Using Data Cubes , 2003, IEEE Trans. Vis. Comput. Graph..

[10]  Stephen G. Eick,et al.  Data visualization sliders , 1994, UIST '94.

[11]  Chris North,et al.  A user interface for coordinating visualizations based on relational schemata: snap-together visualization , 2000 .

[12]  Michael Stonebraker,et al.  Navigation and Coordination Primitives for Multidimensional Visual Browsers , 1997, VDB.

[13]  Andreas Buja,et al.  Interactive High-Dimensional Data Visualization , 1996 .

[14]  Lisa Tweedie,et al.  Characterizing interactive externalizations , 1997, CHI.

[15]  Pat Hanrahan,et al.  Polaris: A System for Query, Analysis, and Visualization of Multidimensional Relational Databases , 2002, IEEE Trans. Vis. Comput. Graph..

[16]  Allan R. Wilks,et al.  Dynamic Graphics for Data Analysis , 1987 .

[17]  Alan Borning,et al.  The Programming Language Aspects of ThingLab, a Constraint-Oriented Simulation Laboratory , 1981, TOPL.

[18]  Stephen Travis Pope,et al.  A cookbook for using the model-view controller user interface paradigm in Smalltalk-80 , 1988 .

[19]  Michael Stonebraker,et al.  VIQING: visual interactive querying , 1998, Proceedings. 1998 IEEE Symposium on Visual Languages (Cat. No.98TB100254).

[20]  Ben Shneiderman,et al.  The eyes have it: a task by data type taxonomy for information visualizations , 1996, Proceedings 1996 IEEE Symposium on Visual Languages.

[21]  Chris North,et al.  A Taxonomy of Multiple Window Coordinations , 1998 .

[22]  Pat Hanrahan,et al.  Polaris: a system for query, analysis and visualization of multi-dimensional relational databases , 2000, IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings.