columbus data visualization meetup-08292015-ap
TRANSCRIPT
Information Visualizatio
n: A Theoretic
Survey
Information Visualization is…?
History
Up to the 17th century: Maps & diagrams● Positions of stars● Maritime maps● 1350 - Bar graphs
1600 to 1699: Measurements & theories● Time, distance and
space● Estimation,
probability, demography
● Statistics● Elements of “visual
thinking”
1700 to 1799: New graphics forms● More than
geographical position● Map geology,
economics, demography and health data
● More forms● Color, lithography and
press
1800 to 1849: Beginning of modern infographics● Statistical graphics● Thematic mapping● Cartography - simpler
maps transformed to complex atlases
1850 to 1900: Golden Age of data graphics● Social, industrial and
transportation planning
● Making sense of greater variety of data
1900 to 1949: Modern Dark Ages● Growth in
quantification and formal models
● Popularized in Govt., Commerce and Science
1950 to 1974: Re-birth of visualization● Graphical analyses of
data● Semilogie Graphique -
organizing vision and perception of graphical elements
● Computers
1975 - present: The computer as a new frontier● Software and
hardware systems● Highly interactive and
easy to use● Data manipulation,
graphic techniques, multidimensional visualization
Information Visualization is…?
Theoretical Foundations
Linguistic TheoryLanguage as representation (of meaning)● Lexical tokens● Semiotic theory of
Ferdinand de Saussure○ Referrer - Referent
Language as process● Dynamic
interpretation & negotiation
● Interaction theory of Bhaktin
Foundational concepts● Interpretation of a visualization through its
external physical form● Exploration and manipulation of the
external representation by the reader so as to discover more about the underlying model
● Exploration and manipulation of the internal data model by the system in order to discover interrelationships, trends and patterns, so as to enable them to be represented appropriately
Frameworks
Predictive Data-centric
Predictive Data-centric (Natalia Andrienko)● Data characterization framework
○ Characteristic component / attribute○ Referential component / referrer○ Characteristic set○ Reference set○ Multidimensional dataset
● Patterns○ Archetypes
Predictive Data-centric (Natalia Andrienko)
Information Communication
Information Communication (Matthew Ward)● Visual Communication
○ What is “Information”?■ Thomas Schneider (Research Biologist) -
“...measure of the decrease of uncertainty at a receiver”
■ Colin Cherry (Information Theorist) stated “Information can only be received where there is doubt; and doubt implies the existence of alternatives where choice, selection, or discrimination is called for”
● Measuring information○ Amount○ Loss
● Bandwidth
Information Communication (Matthew Ward)● Content
○ Selective○ Descriptive○ Semantic
● Measuring content vs measuring loss● Hardware and perceptual limitations
○ Channel (display)○ Receiver (human visual perception
system)
Scientific Modeling
Scientific Modeling (T.J. Jankun-Kelly)
● “...programs focus on visualization techniques (the engineering core) in detriment to the foundational aspects (the scientific core)”
● Exploration model (user’s interaction)
● Transform design model (depiction + construction)
Scientific Modeling (T.J. Jankun-Kelly)
Future
“The Future of Data Visualization”Jeffrey Heer (Strata + Hadoop 2015)
Information Visualization is…
References1. Kanno, Mario. Milestones in the History of Data Visualization. Digital image. N.p., n.d. Web. <
http://www.math.yorku.ca/SCS/Gallery/milestone/Vi>.2. Purchase, Helen C., Natalia Andrienko, T. J. Jankun-Kelly, and Matthew Ward. "Theoretical
Foundations of Information Visualization." Chapter 3 Theoretical Foundations of Information Visualization (2008): n. pag. Web.
3. Heer, Jeffrey. ""The Future of Data Visualization"" YouTube. YouTube, 20 Feb. 2015. Web. 26 Sept. 2015. <https://www.youtube.com/watch?v=vc1bq0qIKoA>.
4. "Information Visualization." - InfoVis:Wiki. N.p., n.d. Web. 29 Sept. 2015. <http://www.infovis-wiki.net/index.php/Information_Visualization#Definitions>.
5. Hoffman, Michael M., Orion J. Buske, Jie Wang, Zhiping Weng, Jeff A. Bilmes, and William Stafford Noble. "Unsupervised Pattern Discovery in Human Chromatin Structure through Genomic Segmentation." Nature Methods Nat Meth 9.5 (2012): 473-76. Web.