Buch, Englisch, 147 Seiten, Format (B × H): 156 mm x 232 mm, Gewicht: 268 g
ISBN: 978-1-84628-494-6
Verlag: Springer
This is a ‘how to’ book for scientific visualization. SciViz has not been covered in an approachable form (other than in compilations of research papers) since Brodlie’s seminal work "Scientific Visualization: Techniques and Applications" in 1992. This book does not treat the subject as a subset of information visualisation, but rather as a subject in its own right and the author uses a straightforward approach with a non-mathematical basis. An introduction on the philosophy of the subject sets the scene. The theory of colour perception and its value and use for conveying information about data is introduced. Next, using Brodlie’s taxonomy to underpin its core chapters, it is shown how to classify data. Worked examples are given throughout the text and there are practical ‘sidebars’ - virtual laboratory classes for those readers with access to the IRIS Explorer software who can try out the demonstrations on an accompanying website. The book concludes with a ‘taster’ of ongoing research.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Geisteswissenschaften Design Produktdesign, Industriedesign
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
- Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
- Technische Wissenschaften Technik Allgemein Konstruktionslehre und -technik
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
Weitere Infos & Material
Potential and Pitfalls.- Models and Software.- Colour in Scientific Visualization.- Choosing Techniques.- Visualizing Scalars.- Visualizing Vectors.- Bibliography and Further Reading.
