Multidimensional Collaborative Lossless Visualization: Experimental Study

Document Type

Conference Proceeding

Department or Administrative Unit

Computer Science

Publication Date

9-14-2014

Abstract

The major challenges in visualization of large n-D data in 2-D are in supporting the most efficient and fast usage of abilities of users to analyze visualized information and to extract patterns visually. This paper describes experimental results of a collaborative approach to support n-D data visualization based on new lossless n-D visualization methods (collocated paired coordinates and their stars modifications) that we propose. This is a second part of the work. The first part presented in a separate paper is focused on description of the algorithms.

Comments

This article was originally published in CDVE 2014: Cooperative Design, Visualization, and Engineering. The full-text article from the publisher can be found here.

Due to copyright restrictions, this article is not available for free download from ScholarWorks @ CWU.

Journal

Cooperative Design, Visualization, and Engineering

Rights

© Springer International Publishing Switzerland 2014

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