Buch, Englisch, 428 Seiten, Format (B × H): 195 mm x 244 mm, Gewicht: 1299 g
Buch, Englisch, 428 Seiten, Format (B × H): 195 mm x 244 mm, Gewicht: 1299 g
Reihe: AK Peters Visualization Series
ISBN: 978-1-4665-0891-0
Verlag: Taylor & Francis Inc
Visualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration. It emphasizes the careful validation of effectiveness and the consideration of function before form.
The book breaks down visualization design according to three questions: what data users need to see, why users need to carry out their tasks, and how the visual representations proposed can be constructed and manipulated. It walks readers through the use of space and color to visually encode data in a view, the trade-offs between changing a single view and using multiple linked views, and the ways to reduce the amount of data shown in each view. The book concludes with six case studies analyzed in detail with the full framework.
The book is suitable for a broad set of readers, from beginners to more experienced visualization designers. It does not assume any previous experience in programming, mathematics, human–computer interaction, or graphic design and can be used in an introductory visualization course at the graduate or undergraduate level.
Zielgruppe
Academic and Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung
- Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion
Weitere Infos & Material
What's Vis, and Why Do It? What: Data Abstraction. Why: Task Abstraction. Analysis: Four Levels for Validation. Marks and Channels. Rules of Thumb. Arrange Tables. Arrange Spatial Data. Arrange Networks and Trees. Map Color and Other Channels. Manipulate View. Facet into Multiple Views. Reduce Items and Attributes. Embed: Focus+Context. Analysis Case Studies. Bibliography.
