PRISMA - A Multidimensional Information Visualization Tool Using Multiple Coordinated Views

Information visualization techniques have been successfully used to build visual and interactive analysis of data and data relationships. However, dimensionality, volume and diversity make it difficult for a single technique to completely solve the problem. Information visualization tools that support multiple coordinated views allow the user to better understand the dataset by providing different perspectives based on the same set of data items. These tools support the correlation between data views and the coordinated real-time interaction mechanisms. The goal of this paper is to present the PRISMA information visualization tool that explores the use of multiple coordinated views. PRISMA provides usability, portability and extensibility. Initial usability essays are discussed.

[1]  Mark Gahegan,et al.  GeoVISTA studio: a codeless visual programming environment for geoscientific data analysis and visualization , 2002 .

[2]  Ben Shneiderman,et al.  Ordered and quantum treemaps: Making effective use of 2D space to display hierarchies , 2002, TOGS.

[3]  Dylgg,et al.  Guidelines for Designing Information Visualization Applications , 1999 .

[4]  Chris North,et al.  Snap-Together Visualization: A User Interface for Coordinating Visualizations via Relational Schemata , 2003 .

[5]  Allison Woodruff,et al.  Guidelines for using multiple views in information visualization , 2000, AVI '00.

[6]  Ganesh S. Oak Information Visualization Introduction , 2022 .

[7]  Catherine Blake,et al.  UCI Repository of machine learning databases , 1998 .

[8]  Alfred Inselberg,et al.  Parallel coordinates for visualizing multi-dimensional geometry , 1987 .

[9]  Alfred Kobsa,et al.  An empirical comparison of three commercial information visualization systems , 2001, IEEE Symposium on Information Visualization, 2001. INFOVIS 2001..

[10]  Haim Levkowitz,et al.  From Visual Data Exploration to Visual Data Mining: A Survey , 2003, IEEE Trans. Vis. Comput. Graph..

[11]  Raquel M. Pillat,et al.  Coordinating views in the InfoVis toolkit , 2006, AVI '06.

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

[13]  Raquel M. Pillat,et al.  Experimental study on evaluation of multidimensional information visualization techniques , 2005, CLIHC '05.

[14]  Alfred Inselberg,et al.  Parallel coordinates: a tool for visualizing multi-dimensional geometry , 1990, Proceedings of the First IEEE Conference on Visualization: Visualization `90.

[15]  Eun-Kyung Lee,et al.  exploRase: Exploratory Data Analysis of Systems Biology Data , 2006, Fourth International Conference on Coordinated & Multiple Views in Exploratory Visualization (CMV'06).