Foundations of Data Visualization
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 discours...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2020, 2020
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| Edition: | 1st ed. 2020 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of 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 InstituteSetting
- 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