Information Theory in Scientific Visualization
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 vi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2011-01-01
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| Series: | Entropy |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1099-4300/13/1/254/ |
| _version_ | 1828234749138698240 |
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| author | Chaoli Wang Han-Wei Shen |
| author_facet | Chaoli Wang Han-Wei Shen |
| author_sort | Chaoli Wang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T20:01:17Z |
| format | Article |
| id | doaj.art-7943f5d03c394dd8ad14332d42cf4784 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-12T20:01:17Z |
| publishDate | 2011-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-7943f5d03c394dd8ad14332d42cf47842022-12-22T03:18:31ZengMDPI AGEntropy1099-43002011-01-0113125427310.3390/e13010254Information Theory in Scientific VisualizationChaoli WangHan-Wei ShenIn 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.http://www.mdpi.com/1099-4300/13/1/254/information theoryscientific visualizationvisual communication channel |
| spellingShingle | Chaoli Wang Han-Wei Shen Information Theory in Scientific Visualization Entropy information theory scientific visualization visual communication channel |
| title | Information Theory in Scientific Visualization |
| title_full | Information Theory in Scientific Visualization |
| title_fullStr | Information Theory in Scientific Visualization |
| title_full_unstemmed | Information Theory in Scientific Visualization |
| title_short | Information Theory in Scientific Visualization |
| title_sort | information theory in scientific visualization |
| topic | information theory scientific visualization visual communication channel |
| url | http://www.mdpi.com/1099-4300/13/1/254/ |
| work_keys_str_mv | AT chaoliwang informationtheoryinscientificvisualization AT hanweishen informationtheoryinscientificvisualization |