Wolfgang Aigner,Silvia Miksch,Heidrun Schumann,Christian Tominski
Visualization of Time-Oriented Data
Visualization of Time-Oriented Data
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- More about Visualization of Time-Oriented Data
Time is an important dimension in many fields, and visual representations can help us understand and analyze time-oriented data. This second edition of the book provides a systematic view of the visualization of time-oriented data, with updated content and examples. It is now published as an open-access book, and includes advanced methods for interacting with visual representations. It also covers topics such as data quality, segmentation, and labeling, and provides a comprehensive survey of classic and contemporary visualization techniques. The accompanying TimeViz Browser offers additional filter and search facilities to help scientists and practitioners find the solutions they are interested in.
Format: Hardback
Length: 441 pages
Publication date: 22 December 2023
Publisher: Springer London Ltd
Time is a remarkable dimension with immense significance in various fields such as medicine, engineering, business, science, biography, history, planning, and project management. By employing visual representations to understand time-oriented data, we gain valuable insights from the past, enabling us to predict, plan, and construct a better future. This second edition, building upon the success of its predecessor, offers a concise introduction to visualization and a comprehensive review of historical time-oriented visual representations. At its core, the book presents a systematic approach to visualizing time-oriented data. Separate chapters delve into interaction techniques and computational methods to facilitate the analysis of visual data. Numerous examples and figures illustrate the introduced concepts and techniques, making the content more accessible and engaging.
What makes the second edition truly noteworthy is its open-access publication format, allowing anyone with an interest in the visualization of time and time-oriented data to access and benefit from its content. Furthermore, the entire content has been extensively revised and expanded to reflect the latest advancements in the field. The chapter on interaction support now encompasses advanced methods for engaging with visual representations of time-oriented data. Additionally, the second edition addresses the topics of data quality, segmentation, and labeling, providing comprehensive insights into these critical aspects of visualization. The comprehensive survey of classic and contemporary visualization techniques now offers over 150 self-contained descriptions, accompanied by illustrations and corresponding references. A brand-new chapter introduces the structured survey as a tool for guided selection of suitable visualization techniques, enhancing the practical application of the knowledge presented.
In conjunction with the second edition, we are proud to announce the release of the TimeViz Browser, the digital companion to the survey of visualization techniques. The TimeViz Browser has undergone a significant upgrade, enhancing its functionality and user experience. It provides a seamless platform for exploring and visualizing the various visualization techniques discussed in the book, making it an invaluable resource for practitioners and researchers alike.
In conclusion, this second edition of "Visualization of Time-Oriented Data" is a testament to the ongoing commitment of the authors to advancing the field of visualization. By offering a comprehensive and up-to-date exploration of time-oriented data visualization, the book empowers individuals and organizations to make informed decisions based on historical data and predict future trends. The open-access publication format, coupled with the enhanced TimeViz Browser, ensures that the knowledge and techniques presented in this book are accessible to a wide audience, fostering a greater understanding and application of visualization in diverse fields.
Weight: 857g
Dimension: 235 x 155 (mm)
ISBN-13: 9781447175261
Edition number: 2nd ed. 2023
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