Data Visualization: Principles and Practice, Second Edition Alexandru C. Telea is an English-language textbook about data visualization. This second part covers fundamental principles and practical examples, aimed at students and professionals in higher education.
The book provides a compact and clearly structured introduction to designing visualization systems, covering various practical aspects such as performance, platform independence, programming languages, and user interfaces. The second edition includes extensive examples of visualization techniques, including scaled, vector, and volumetric data, as well as advanced image processing and information visualization.
New chapters highlight, among other things, algorithms for diffusion tensor imaging, point-cloud reconstruction, and advanced segmentation methods. In addition, software architecture and algorithmic design choices are illustrated using C++ code excerpts.
This textbook is a valuable resource for anyone looking to deepen their understanding of the principles and practice of data visualization, with strong links to related disciplines such as computer graphics and scientific visualization.
In terms of content, it aligns with topics such as research methods and digital media, and is suitable for programs focused on data analysis, computer science, and technical sciences.