Scientific Visualization

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This volume represents a full consideration of the subject of scientific visualization and is intended to be reference guide for the community on the technical aspects of the subject. An Introduction gives an overview of the current field, and a final chapter summarises the Conclusions of the present work.

Inhalt
1 Introduction.- 1.1 What is Scientific Visualization?.- 1.2 History and Background.- 1.3 Current Activities in Scientific Visualization.- 1.4 Background to the AGOCG Workshop.- 1.5 Introduction to the Book.- 1.6 Recommendations of the Workshop.- 1.7 Key References.- 2 Framework.- 2.1 Introduction.- 2.2 Scope.- 2.3 High Level Models.- 2.4 Framework Model.- 2.5 Module Model.- 2.6 Functionality Aspects.- 2.7 Qualitative Aspects.- 2.8 Implementation.- 2.9 Key References.- 3 Visualization Techniques.- 3.1 Introduction.- 3.2 Elements of a Visualization Technique.- 3.3 Classification.- 3.4 Techniques for Point Data.- 3.5 Techniques for Scalar Entities.- 3.6 Techniques for Vector Entities.- 3.7 Techniques for Tensor Fields.- 3.8 Image Processing Techniques.- 3.9 Animation.- 3.10 Interaction Techniques.- 3.11 Perception of 3D.- 3.12 Conclusions and Future Trends.- 3.13 Key References.- 4 Data Facilities.- 4.1 Introduction.- 4.2 Data Sources.- 4.3 Data Classification.- 4.4 Management of Data.- 4.5 Data Transformation.- 4.6 Data Compression.- 4.7 Data Formats.- 4.8 Recommendations.- 4.9 Key References.- 5 Human-Computer Interface.- 5.1 Introduction.- 5.2 User Issues.- 5.3 System Issues.- 5.4 Conclusions and Recommendations.- 5.5 Key References.- 6 Applications.- 6.1 Introduction.- 6.2 Chapter Structure.- 6.3 Cartography.- 6.4 Study of Statistical Indicators.- 6.5 Remote Sensing.- 6.6 Analysis of Archaeological Data.- 6.7 Physical Chemistry and Drug Design.- 6.8 Biochemistry.- 6.9 Materials Research.- 6.10 Medical Science.- 6.11 Archaeological Reconstruction.- 6.12 Meteorology.- 6.13 Ice Stream Visualization.- 6.14 Oceanography.- 6.15 Oil Reservoir Engineering.- 6.16 Computational Fluid Dynamics.- 6.17 Dynamics of Systems.- 6.18 Program Visualization.- 6.19 Conclusions.- 6.20 KeyReferences.- 7 Products.- 7.1 Introduction.- 7.2 Visualization Software Categories.- 7.3 Examples of Software Products.- 7.4 Benchmarking and Validation.- 7.5 Future Trends.- 7.6 Conclusions.- 7.7 Key References.- 8 Conclusions.- 8.1 Summary- and where to get further information.- 8.2 Methodology and Reference Model.- 8.3 Techniques.- 8.4 Data Facilities.- 8.5 Human-Computer Interface.- 8.6 Applications.- 8.7 Products.- 8.8 Infrastructure Support.- 8.9 Other uses of Visualization Tools.- 8.10 Virtual Reality Systems.- 8.11 Importance of Scientific Visualization.- 8.12 References.- Appendices A Enabling Technologies.- A.1 Hardware.- A.2 Graphics software for ViSC.- A.3 User Interface Toolkits.- A.4 Database Systems.- A.5 ViSC Generic Data Formats.- A.6 Key References.- B Glossary.- B.1 Visualization Terms.- B.2 Abbreviations and Acronyms.- C Bibliography.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783642769443
    • Editor K. W. Brodlie, L. A. Carpenter, R. A. Earnshaw, J. R. Gallop, R. J. Hubbold, A. M. Mumford, C. D. Osland, P. Quarendon
    • Sprache Englisch
    • Genre Anwendungs-Software
    • Größe H235mm x B155mm x T18mm
    • Jahr 2011
    • EAN 9783642769443
    • Format Kartonierter Einband
    • ISBN 3642769446
    • Veröffentlichung 06.12.2011
    • Titel Scientific Visualization
    • Untertitel Techniques and Applications
    • Gewicht 482g
    • Herausgeber Springer
    • Anzahl Seiten 316
    • Lesemotiv Verstehen

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