Information Theory in Scientific Visualization

Entropy

Chaoli Wang¹ 

[1] Department of Computer Science, Michigan Technological University, 1400 Townsend Drive, Houghton, MI 49931, USA

关键词: information theory;    scientific visualization;    visual communication channel;   

DOI  :  10.3390/e13010254

来源: mdpi

【 摘 要 】

In recent years, there is an emerging direction that leverages information theory to solve many challenging problems in scientific data analysis and visualization. In this article, we review the key concepts in information theory, discuss how the principles of information theory can be useful for visualization, and provide specific examples to draw connections between data communication and data visualization in terms of how information can be measured quantitatively. As the amount of digital data available to us increases at an astounding speed, the goal of this article is to introduce the interested readers to this new direction of data analysis research, and to inspire them to identify new applications and seek solutions using information theory.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.