Glyph (data visualization): Difference between revisions

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{{Quotation |text=In the context of data visualization, a glyph is the visual representation of a piece of data where the attributes of a graphical entity are dictated by one or more attributes of a data record. |author=Matthew O. Ward |title=Multivariate data glyphs: Principles and practice|source=In: ''Handbook of data visualization'' (2008), p.180. }}

== Constructing glyphs ==

Glyph construction can be a complex process when there are many dimensions to be represented in the visualization. Maguire et al proposed a taxonomy based approach to glyph-design that uses a tree to guide the visual encodings used to representation various data items.<ref>{{Cite journal |lastlast1=Maguire |firstfirst1=E. |last2=Rocca-Serra|first2=P. |last3=Sansone |first3=S. A. |last4=Davies |first4=J. |last5=Chen |first5=M. |date=2012-12-01 |title=Taxonomy-Based Glyph Design #8212;with a Case Study on Visualizing Workflows of Biological Experiments|journal=IEEE Transactions on Visualization and Computer Graphics|volume=18|issue=12|pages=2603–2612|doi=10.1109/TVCG.2012.271|pmid=26357169|s2cid=9350966 |issn=1077-2626|url=https://ora.ox.ac.uk/objects/uuid:611a7988-2ba9-4f01-8df0-f6688a01bdc8 }}</ref>

Duffy et al created perhaps one of the most complex glyph representations with their representation of sperm movement.{{Citation needed|reason=Citation for the original work containing the glyphs as well as a source that makes the claim that it is the most complex glyph representation.|date=February 2019}}

== References ==

{{Reflist}}

== Further reading ==

* {{Cite book | publisher = Springer | isbn = 978-3-540-33036-3 | editor1-last = Chen | editor1-first = Chun-houh | editor2-first = Wolfgang

| editor2-last = Härdle | editor3-first = Antony | editor3-last = Unwin | title = Handbook of data visualization | series = Springer Handbooks of Computational Statistics | date = 2008}}

==External links==

* [https://www.visualizefree.com/ Visualize Free - Data Visualization Software & Visual Analytics Application]

*[https://zindi.africa/ Data Science - Learn, Grow, Build Connections & Transform The World With AI]

[[Category:Data visualization]]

[[Category:Infographics]]

[[Category:Data and information visualization]]

[[Category:Computer graphics]]

{{Compu-graphics-stub}}