Visualization (graphics): Difference between revisions

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=== Knowledge visualization ===

The use of visual representations to transfer knowledge between at least two persons aims to improve the transfer of [[knowledge]] by using [[computer]] and non-computer-based visualization methods complementarily.<ref>(Burkhard and Meier, 2004),</ref> Thus properly designed visualization is an important part of not only data analysis but knowledge transfer process, too.<ref>{{Cite journal|last=Opiła|first=Janusz|date=1 April 2019|title=Role of Visualization in a Knowledge Transfer Process|journal=Business Systems Research Journal|volume=10|issue=1|pages=164–179|doi=10.2478/bsrj-2019-0012|issn=1847-9375|doi-access=free}}</ref> Knowledge transfer may be significantly improved using hybrid designs as it enhances information density but may decrease clarity as well. For example, visualization of a 3D [[scalar field]] may be implemented using iso-surfaces for field distribution and textures for the gradient of the field.<ref>{{Cite journalbook|last1=Opila|first1=J.|last2=Opila|first2=G.|datetitle=May 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) |titlechapter=Visualization of computable scalar 3D field using cubic interpolation or kernel density estimation function |journaldate=2018 41stMay International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)2018|___location=Opatija|publisher=IEEE|pages=0189–0194|doi=10.23919/MIPRO.2018.8400036|isbn=9789532330953|s2cid=49640048}}</ref> Examples of such visual formats are [[sketch (drawing)|sketch]]es, [[diagram]]s, [[image]]s, objects, interactive visualizations, information visualization applications, and imaginary visualizations as in [[narrative|stories]]. While information visualization concentrates on the use of computer-supported tools to derive new insights, knowledge visualization focuses on transferring insights and creating new [[knowledge]] in [[group (sociology)|groups]]. Beyond the mere transfer of [[fact]]s, knowledge visualization aims to further transfer [[insight]]s, [[experience]]s, [[attitude (psychology)|attitude]]s, [[value (personal and cultural)|value]]s, [[expectation (epistemic)|expectation]]s, [[perspective (cognitive)|perspective]]s, [[opinion]]s, and [[prediction]]s by using various complementary visualizations.

See also: [[picture dictionary]], [[visual dictionary]]