“Glyph (data visualization)”的意思、由来-开放百科全书

词条

Glyph (data visualization)

释义

Information Visualization (InfoVis)
Constructing Glyphs Examples Simple Glyphs Complex Glyphs
Scientific Visualization (SciVis)
Key Advantages Considerations
References

In the context of data visualization, a glyph is any marker, such as an arrow or similar marking, used to specify part of a 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. }}

Information Visualization (InfoVis)

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.^[1]

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}}

Scientific Visualization (SciVis)

Key Advantages

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

Considerations

References

1. ^{{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|url=http://ieeexplore.ieee.org/document/6327266/|journal=IEEE Transactions on Visualization and Computer Graphics|volume=18|issue=12|pages=2603–2612|doi=10.1109/TVCG.2012.271|issn=1077-2626}}

{{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
}}{{Compu-graphics-stub}}

3 : Data visualization|Infographics|Computer graphics

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