Glyph (data visualization): Difference between revisions

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[[File:Scatter plot.jpg|right|thumb|Four-dimensional data visualization, using [[VisIt]]: in [[three-dimensional]] [[phase space]] a fourth [[scalar variable]] is visualized by use of coloured glyphs.]]

In the context of [[data visualization]], a [[glyph]] is any marker, such as an arrow or similar marking, used to specify part of a [[scientific visualization|visualization]]. This is a representation to visualize data where the data set is presented as a collection of visual objects. These visual objects are collectively called a Glyph.

{{Quotation |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. |Matthew O. Ward |Multivariate data glyphs: Principles and practice| In: ''Handbook of data visualization'' (2008), p.180. }}

=== Constructing Glyphs ===

== Information Visualization (InfoVis) ==

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|last=Maguire|first=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|issn=1077-2626}}</ref>

=== 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|last=Maguire|first=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|issn=1077-2626}}</ref>

=== Examples ===

==== Simple Glyphs ====

==== Complex Glyphs ====

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}}

=== Key Advantages ===

== Scientific Visualization (SciVis) ==

=== Key Advantages ===

It helps visualizing data relation in Data Analysis, Statistics, etc. by using any custom notation.

=== Considerations ===

== References ==

{{Reflist}}

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

* {{Cite book

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

| publisher = Springer

| isbn = 978-3-540-33036-3

==External links==

| editor1-last = Chen

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

| 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

}}

[[Category:Data visualization]]