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The Resource Foundations of data visualization, Min Chen, Helwig Hauser, Penny Rheingans, Gerik Scheuermann, editors

Foundations of data visualization, Min Chen, Helwig Hauser, Penny Rheingans, Gerik Scheuermann, editors

Label
Foundations of data visualization
Title
Foundations of data visualization
Statement of responsibility
Min Chen, Helwig Hauser, Penny Rheingans, Gerik Scheuermann, editors
Contributor
Editor
Subject
Language
eng
Summary
This is the first book that focuses entirely on the fundamental questions in visualization. Unlike other existing books in the field, it contains discussions that go far beyond individual visual representations and individual visualization algorithms. It offers a collection of investigative discourses that probe these questions from different perspectives, including concepts that help frame these questions and their potential answers, mathematical methods that underpin the scientific reasoning of these questions, empirical methods that facilitate the validation and falsification of potential answers, and case studies that stimulate hypotheses about potential answers while providing practical evidence for such hypotheses. Readers are not instructed to follow a specific theory, but their attention is brought to a broad range of schools of thoughts and different ways of investigating fundamental questions. As such, the book represents the by now most significant collective effort for gathering a large collection of discourses on the foundation of data visualization. Data visualization is a relatively young scientific discipline. Over the last three decades, a large collection of computer-supported visualization techniques have been developed, and the merits and benefits of using these techniques have been evidenced by numerous applications in practice. These technical advancements have given rise to the scientific curiosity about some fundamental questions such as why and how visualization works, when it is useful or effective and when it is not, what are the primary factors affecting its usefulness and effectiveness, and so on. This book signifies timely and exciting opportunities to answer such fundamental questions by building on the wealth of knowledge and experience accumulated in developing and deploying visualization technology in practice
Cataloging source
YDX
Dewey number
001.4/226
Index
no index present
LC call number
QA76.9.I52
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Chen, Min
  • Hauser, Helwig
  • Rheingans, Penny
  • Scheuermann, Gerik
http://library.link/vocab/subjectName
Information visualization
Label
Foundations of data visualization, Min Chen, Helwig Hauser, Penny Rheingans, Gerik Scheuermann, editors
Instantiates
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Part I: Theoretical Underpinnings of Data Visualization -- The Fabric of Visualization -- Visual Abstraction -- Measures in Visualization Space -- Knowledge-Assisted Visualization and Guidance -- Mathematical Foundations in Visualizations -- Transformations, Mappings and Data Summaries -- Part II: Empirical Studies in Visualization -- A Survey of Variables Used in Empirical Studies for Visualization -- Empirical Evaluations with Domain Experts -- Evaluation of Visualization Systems with Long-term Case Studies -- Vis4Vis: Visualization for (Empirical) Visualization Research -- 'Isms' in Visualization -- Open Challenges in Empirical Visualization Research -- Part III: Collaboration with Domain Experts -- Case Studies for Working with Domain Experts -- Collaboration Between Industry and University -- Collaborating Successfully with Domain Experts -- Part IV: Developing Visualizations for Broad Audiences -- Reflections on Visualization for Broad Audiences -- Reaching Broad Audiences from a Research Institute Setting -- Reaching Broad Audiences from a Large Agency Setting -- Reaching Broad Audiences from a Science Center or Museum Setting -- Reaching Broad Audiences in an Educational Setting -- Challenges and Open Issues in Visualization for Broad Audiences
Dimensions
unknown
Extent
1 online resource
Form of item
online
Isbn
9783030344443
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-030-34
Specific material designation
remote
System control number
  • on1184055576
  • (OCoLC)1184055576
Label
Foundations of data visualization, Min Chen, Helwig Hauser, Penny Rheingans, Gerik Scheuermann, editors
Publication
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Part I: Theoretical Underpinnings of Data Visualization -- The Fabric of Visualization -- Visual Abstraction -- Measures in Visualization Space -- Knowledge-Assisted Visualization and Guidance -- Mathematical Foundations in Visualizations -- Transformations, Mappings and Data Summaries -- Part II: Empirical Studies in Visualization -- A Survey of Variables Used in Empirical Studies for Visualization -- Empirical Evaluations with Domain Experts -- Evaluation of Visualization Systems with Long-term Case Studies -- Vis4Vis: Visualization for (Empirical) Visualization Research -- 'Isms' in Visualization -- Open Challenges in Empirical Visualization Research -- Part III: Collaboration with Domain Experts -- Case Studies for Working with Domain Experts -- Collaboration Between Industry and University -- Collaborating Successfully with Domain Experts -- Part IV: Developing Visualizations for Broad Audiences -- Reflections on Visualization for Broad Audiences -- Reaching Broad Audiences from a Research Institute Setting -- Reaching Broad Audiences from a Large Agency Setting -- Reaching Broad Audiences from a Science Center or Museum Setting -- Reaching Broad Audiences in an Educational Setting -- Challenges and Open Issues in Visualization for Broad Audiences
Dimensions
unknown
Extent
1 online resource
Form of item
online
Isbn
9783030344443
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-030-34
Specific material designation
remote
System control number
  • on1184055576
  • (OCoLC)1184055576

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