國立虎尾科技大學 |

The Whole Is Other Than the Sum of Its Parts : = A Framework for Classifying and Deconstructing Composite Visualization.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	The Whole Is Other Than the Sum of Its Parts :/
Reminder of title:	A Framework for Classifying and Deconstructing Composite Visualization.
Author:	Chen, Muxing.
Description:	1 online resource (112 pages)
Notes:	Source: Masters Abstracts International, Volume: 85-11.
Contained By:	Masters Abstracts International85-11.
Subject:	Design. -
Online resource:	click for full text (PQDT)
ISBN:	9798382597744

The Whole Is Other Than the Sum of Its Parts : = A Framework for Classifying and Deconstructing Composite Visualization.
Chen, Muxing.

The Whole Is Other Than the Sum of Its Parts :A Framework for Classifying and Deconstructing Composite Visualization. - 1 online resource (112 pages)

Source: Masters Abstracts International, Volume: 85-11.

Thesis (M.F.A.)--Northeastern University, 2024.

Includes bibliographical references

As we are able to produce, collect, and store greater quantities and varieties of information, complex data has become increasingly commonplace. This accessibility poses a significant challenge: a single visualization is often insufficient to represent such intricate information. To address this, researchers and designers have devised techniques for visualizing various facets of a complex dataset by combining multiple visual representations in the same visual space, known as composite visualization.Despite a plethora of composite visualizations has emerged within the visualization community, mainstream theories have yet to fully characterize them. Established theories, exempliﬁed by Bertin's visual variables, elucidate how data attributes can be mapped to graphical features, such as position, color, etc., but fail to explain the interplay between visualizations.To overcome this limitation, this thesis formulates a framework that identifies ten composition patterns for combining multiple visualizations to form a cohesive whole, based on spatial and data relations between the involved visualizations. This framework characterizes the interrelationships between visualizations and therefore augments the established theories. Meanwhile, it offers tools for designers and researchers to communicate, classify, and deconstruct composite visualization.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798382597744Subjects--Topical Terms:

595500
Design.
Subjects--Index Terms:

Composite visualizationIndex Terms--Genre/Form:

554714
Electronic books.

The Whole Is Other Than the Sum of Its Parts : = A Framework for Classifying and Deconstructing Composite Visualization.
LDR:02835ntm a22004097 4500 001 1150481
005 20241028051501.5
006 m o d
007 cr bn ---uuuuu
008 250605s2024 xx obm 000 0 eng d
020 $a 9798382597744
035 $a (MiAaPQ)AAI31237727
035 $a AAI31237727
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Chen, Muxing. $3 1476969
245 1 4 $a The Whole Is Other Than the Sum of Its Parts : $b A Framework for Classifying and Deconstructing Composite Visualization.
264 0 $c 2024
300 $a 1 online resource (112 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 85-11.
500 $a Advisor: Ciuccarelli, Paolo;Forlano, Laura.
502 $a Thesis (M.F.A.)--Northeastern University, 2024.
504 $a Includes bibliographical references
520 $a As we are able to produce, collect, and store greater quantities and varieties of information, complex data has become increasingly commonplace. This accessibility poses a significant challenge: a single visualization is often insufficient to represent such intricate information. To address this, researchers and designers have devised techniques for visualizing various facets of a complex dataset by combining multiple visual representations in the same visual space, known as composite visualization.Despite a plethora of composite visualizations has emerged within the visualization community, mainstream theories have yet to fully characterize them. Established theories, exempliﬁed by Bertin's visual variables, elucidate how data attributes can be mapped to graphical features, such as position, color, etc., but fail to explain the interplay between visualizations.To overcome this limitation, this thesis formulates a framework that identifies ten composition patterns for combining multiple visualizations to form a cohesive whole, based on spatial and data relations between the involved visualizations. This framework characterizes the interrelationships between visualizations and therefore augments the established theories. Meanwhile, it offers tools for designers and researchers to communicate, classify, and deconstruct composite visualization.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Design. $3 595500
650 4 $a Information science. $3 561178
650 4 $a Fine arts. $3 1112523
653 $a Composite visualization
653 $a Data visualization
653 $a Information design
653 $a Information visualization
653 $a Visual analytics
653 $a Visualization design
655 7 $a Electronic books. $2 local $3 554714
690 $a 0389
690 $a 0723
690 $a 0357
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Northeastern University. $b Department of Art + Design. $3 1188191
773 0 $t Masters Abstracts International $g 85-11.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31237727 $z click for full text (PQDT)