Data visualization: principles and practice
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, Fl. [u.a.]
CRC Press
2015
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| Edition: | second edition |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XII, 605 S. Illustrationen, Diagramme |
| ISBN: | 9781466585263 |
Staff View
MARC
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Record in the Search Index
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| adam_text | Contents Preface to Second Edition xi 1 1 Introduction How Visualization Works .................................................................. Positioning in the Field ..................................................................... Book Structure.................................................................................... Notation................................................................................................. Online Material..................................................................................... 3 12 15 18 18 From Graphics to Visualization 2.1 A Simple Example.............................................................................. 2.2 Graphics-Rendering Basics.................................................................. 2.3 Rendering the Height Plot.................................................................. 2.4 Texture Mapping................................................................................. 2.5 Transparency and Blending............................................................... 2.6 Viewing................................................................................................. 2.7 Putting It All Together ..................................................................... 2.8 Conclusion ........................................................................................... 21 Data Representation 3.1 Continuous Data.................................................................................. 3.2 Sampled
Data........................................................................................ 3.3 Discrete Datasets.................................................................................. 3.4 Cell Types.............................................................................................. 3.5 Grid Types........................................................................................... 53 1.1 1.2 1.3 1.4 1.5 2 3 vii 22 28 30 36 39 43 47 50 53 57 66 67 74
Contents 3.6 3.7 3.8 3.9 3.10 4 The Visualization Pipeline 4.1 4.2 4.3 4.4 5 Color Mapping................................................................................... Designing Effective Colormaps ....................................................... Contouring......................................................................................... Height Plots......................................................................................... Conclusion ......................................................................................... Vector Visualization 6.1 6.2 6.3 6.4 6.5 6.6 6.7 6.8 6.9 7 Conceptual Perspective ................................................................... Implementation Perspective............................................................. Algorithm Classification................................................................... Conclusion ......................................................................................... Scalar Visualization 5.1 5.2 5.3 5.4 5.5 6 Attributes............................................................................................ Computing Derivatives of SampledData......................................... Implementation.................................................................................... Advanced Data Representation........................................................ Conclusion .......................................................................................... 123 123 136 144 145 147 147 149 163 176 181 183 Divergence and
Vorticity................................................................... 184 Vector Glyphs...................................................................................... 188 Vector Color Coding.......................................................................... 196 Displacement Plots.................................................................................200 Stream Objects....................................................................................... 203 Texture-Based Vector Visualization................................................. 223 Simplified Representation of VectorFields...................................... 234 Illustrative Vector Field Rendering................................................. 250 Conclusion ......................................................................................... 252 Tensor Visualization 7.1 Principal Component Analysis 7.2 7.3 7.4 7.5 7.6 7.7 81 96 100 111 120 253 ....................................................... 254 Visualizing Components.................................................................... 259 Visualizing Scalar PCA Information.............................................. 259 Visualizing Vector PCA Information.................................................. 263 Tensor Glyphs ................................................................................... 266 Fiber Tracking................................................................................... 269 Illustrative Fiber Rendering............................................................. 274
Contents 7.8 7.9 8 9 Hyperstreamlines................................................................................ Conclusion ......................................................................................... 280 283 Domain-Modeling Techniques 285 8.1 8.2 8.3 8.4 8.5 285 290 292 312 324 Cutting............................................................................................... Selection............................................................................................... Grid Construction from Scattered Points....................................... Grid-Processing Techniques............................................................. Conclusion ......................................................................................... 327 Image Data Representation............................................................. 327 Image Processing and Visualization................................................ 329 Basic Imaging Algorithms................................................................ 330 Shape Representation and Analysis................................................. 345 Conclusion ......................................................................................... 402 Image Visualization 9.1 9.2 9.3 9.4 9.5 10 Volume Visualization 10.1 10.2 10.3 10.4 10.5 10.6 11 Information Visualization 11.1 What Is Infovis?................................................................................. 11.2 11.3 11.4 11.5 11.6 11.7 405 Motivation
......................................................................................... 406 Volume Visualization Basics............................................................. 409 Image Order Techniques................................................................... 422 Object Order Techniques ................................................................ 428 Volume Rendering vs. Geometric Rendering................................. 430 Conclusion ......................................................................................... 432 Infovis vs. Servis: A Technical Comparison.................................... Table Visualization............................................................................ Visualization of Relations................................................................ Multivariate Data Visualization...................................................... Text Visualization............................................................................ Conclusion ........................................................................................ 12 Conclusion Visualization Software A.l Taxonomies of Visualization Systems............................................. A.2 Scientific VisualizationSoftware......................................................... A.3 Imaging Software................................................................................. 435 436 438 446 452 505 532 547 549 555 555 557 561
Contents A.4 A.5 Grid Processing Software .................................................................... 566 InformationVisualization Software..................................................... 569 Bibliography 575 Index 599
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| spelling | Telea, Alexandru C. 1972- Verfasser (DE-588)173996094 aut Data visualization principles and practice Alexandru Telea second edition Boca Raton, Fl. [u.a.] CRC Press 2015 XII, 605 S. Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Computação gráfica larpcal Visualização larpcal Datenverarbeitung Mathematik Computer graphics Information visualization Mathematics Graphic methods Data processing Computergrafik (DE-588)4010450-3 gnd rswk-swf Grafische Darstellung (DE-588)4129552-3 gnd rswk-swf Mathematik (DE-588)4037944-9 gnd rswk-swf Visualisierung (DE-588)4188417-6 gnd rswk-swf Computergrafik (DE-588)4010450-3 s Visualisierung (DE-588)4188417-6 s DE-604 Mathematik (DE-588)4037944-9 s Grafische Darstellung (DE-588)4129552-3 s Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027546444&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Telea, Alexandru C. 1972- Data visualization principles and practice Computação gráfica larpcal Visualização larpcal Datenverarbeitung Mathematik Computer graphics Information visualization Mathematics Graphic methods Data processing Computergrafik (DE-588)4010450-3 gnd Grafische Darstellung (DE-588)4129552-3 gnd Mathematik (DE-588)4037944-9 gnd Visualisierung (DE-588)4188417-6 gnd |
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| title | Data visualization principles and practice |
| title_auth | Data visualization principles and practice |
| title_exact_search | Data visualization principles and practice |
| title_full | Data visualization principles and practice Alexandru Telea |
| title_fullStr | Data visualization principles and practice Alexandru Telea |
| title_full_unstemmed | Data visualization principles and practice Alexandru Telea |
| title_short | Data visualization |
| title_sort | data visualization principles and practice |
| title_sub | principles and practice |
| topic | Computação gráfica larpcal Visualização larpcal Datenverarbeitung Mathematik Computer graphics Information visualization Mathematics Graphic methods Data processing Computergrafik (DE-588)4010450-3 gnd Grafische Darstellung (DE-588)4129552-3 gnd Mathematik (DE-588)4037944-9 gnd Visualisierung (DE-588)4188417-6 gnd |
| topic_facet | Computação gráfica Visualização Datenverarbeitung Mathematik Computer graphics Information visualization Mathematics Graphic methods Data processing Computergrafik Grafische Darstellung Visualisierung |
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