Visualisierung
Grundlagen und allgemeine methoden
By: Heidrun Schumann, Wolfgang Müller
About This Book
Ausführlich mit anschaulichen Beispielen stellt das Buch die Grundlagen der Visualisierung und den Visualisierungsprozeß dar. Die Autoren beschreiben detailliert die visuellen Variablen Position und Größe, Farbe und Textur, Form und Tiefe sowie Bewegung. Ebenfalls vorgestellt werden Konzepte zur Visualisierung spezieller Datenklassen, insbesondere die Visualisierung von Multiparameterdatensätzen. Bei der Visualisierung von Volumendaten, die z.B. bei medizinischen und technischen Anwendungen anfallen, stehen praktische Aspekte im Vordergrund.
AI Overview
The book "Visualisierung – Grundlagen und allgemeine Methoden" (Visualization – Foundations and General Methods) by Heidrun Schumann and Wolfgang Müller is a comprehensive guide to the principles and methods of visualization. Here is a detailed overview of the book:
Key Themes
Foundations of Visualization:
- The book begins by laying the foundational principles of visualization, drawing heavily from the work of Jacques Bertin (1983) and Jock Mackinlay (1986). It discusses the 8 visual variables that can be used to encode nominal, ordinal, or quantitative data visually.
Conventional Visualization Methods:
- It covers classical visualization techniques, including time-series charts. The book highlights Minard’s display of Napoleon’s army campaign as a prime example of effective time-series visualization, demonstrating how spatial dimensions and additional visual variables can be used to depict complex data.
Advanced Visualization Techniques:
- The book delves into more advanced methods, including the mapping of time onto quantitative scales. This leads to the discussion of sequence graphs and other 2D or 3D visualizations.
Interactive Visualization:
- It emphasizes the importance of interactive visual exploration methods, allowing users to iteratively gain knowledge about interesting data characteristics. This approach encourages users to formulate new questions or hypotheses that can be further explored and analyzed.
Uncertainty Visualization:
- Although not a primary focus, the book touches on the importance of recognizing and visualizing uncertainty in data. This is particularly relevant in decision-making processes, where uncertainty can significantly impact outcomes.
Plot Summary
The book is structured around the fundamental principles and methods of visualization. It starts with an introduction to the foundational concepts, including the visual variables and their applications. The authors then move on to discuss conventional and advanced visualization techniques, highlighting their strengths and limitations. The text also explores the role of interactive visualization in data exploration and the importance of representing uncertainty in data.
Critical Reception
While there is no specific critical reception mentioned in the provided sources, the book is widely cited in academic literature related to visualization and data mining. It is recognized for its comprehensive coverage of the subject matter, making it a valuable resource for both beginners and experienced practitioners in the field of visualization.
Publication Details
- Title: "Visualisierung – Grundlagen und allgemeine Methoden"
- Authors: Heidrun Schumann, Wolfgang Müller
- Publisher: Springer Verlag
- Publication Year: 2000
- ISBN: 3-540-64944-1
- Pages: 370 pp
In summary, "Visualisierung" by Heidrun Schumann and Wolfgang Müller is a foundational text in the field of visualization, offering a thorough exploration of the principles, methods, and applications of visualization techniques. Its emphasis on both conventional and advanced methods, as well as its recognition of the importance of interactive and uncertainty visualization, makes it a seminal work in the field.