Compound brushing

This paper proposes a conceptual model called compound brushing for modeling the brushing techniques used in dynamic data visualization. In this approach brushing techniques are modeled as higraphs with five types of basic entities: data, selection, device, renderer, and transformation. Using this model, a flexible visual programming tool is designed not only to configure/control various common types of brushing techniques currently used in dynamic data visualization, but also to investigate new brushing techniques.

[1]  Graham J. Wills,et al.  Dynamic Graphics for Exploring Spatial Data with Application to Locating Global and Local Anomalies , 1991 .

[2]  M. E. McGill,et al.  Dynamic Graphics for Statistics , 1988 .

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

[4]  G. Burch.  This is interesting. , 1970, American heart journal.

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

[6]  Helwig Hauser,et al.  Angular brushing of extended parallel coordinates , 2002, IEEE Symposium on Information Visualization, 2002. INFOVIS 2002..

[7]  David Harel,et al.  On visual formalisms , 1988, CACM.

[8]  Russell D. Wolfinger,et al.  The contributions of sex, genotype and age to transcriptional variance in Drosophila melanogaster , 2001, Nature Genetics.

[9]  Pierre R. Bushel,et al.  Assessing Gene Significance from cDNA Microarray Expression Data via Mixed Models , 2001, J. Comput. Biol..

[10]  Graham J. Wills.  Selection: 524,288 ways to say "this is interesting" , 1996, Proceedings IEEE Symposium on Information Visualization '96.

[11]  H. J. Arnold.  Introduction to the Practice of Statistics , 1990 .

[12]  Ed H. Chi,et al.  A taxonomy of visualization techniques using the data state reference model , 2000, IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings.

[13]  Ben Shneiderman,et al.  Readings in information visualization - using vision to think , 1999 .

[14]  Matthew O. Ward,et al.  Structure-Based Brushes: A Mechanism for Navigating Hierarchically Organized Data and Information Spaces , 2000, IEEE Trans. Vis. Comput. Graph..

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

[16]  Richard A. Becker,et al.  Brushing scatterplots , 1987 .