Hauser, H and Carr, H (2014) Categorization. In: Hansen, CD, Chen, M, Johnson, CR, Kaufman, AE and Hagen, H, (eds.) Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization. Mathematics and Visualization . Springer-Verlag , London , pp. 111-117. ISBN 978-1-4471-6496-8
Abstract
Multifield visualization covers a range of data types that can be visualized with many different techniques.We summarize both the data types and the categories of techniques, and lay out the reasoning for dividing this Part into chapters by technique rather than by data type. As we have seen in the previous chapter,multifield visualization covers a broad range of types of data. It is therefore possible to discuss multifield visualization according to these data types, with each type covered in a separate chapter. However, it is also possible to approach the question by considering the techniques to be applied, many of which can be applied to multiple types of multifield data. In this chapter, we therefore discuss bothways of analysingmultifield visualization techniques, and why we have chosen to proceed according to technique rather than type in the subsequent chapters.
Metadata
| Item Type: | Book Section |
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| Authors/Creators: |
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| Editors: |
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| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Institute for Computational and Systems Science (Leeds) |
| Depositing User: | Symplectic Publications |
| Date Deposited: | 19 May 2016 14:54 |
| Last Modified: | 20 May 2016 00:54 |
| Published Version: | http://dx.doi.org/10.1007/978-1-4471-6497-5_11 |
| Status: | Published |
| Publisher: | Springer-Verlag |
| Series Name: | Mathematics and Visualization |
| Identification Number: | 10.1007/978-1-4471-6497-5_11 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:97577 |
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