Aigner, W., Miksch, S., Schumann, H., Tominski C.: Visualization of time-oriented data, Springer Science & Business Media, 2011: Difference between revisions
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[[https://www.springer.com/de/book/9780857290786?utm_campaign=3_pier05_buy_print&utm_content=en_08082017&utm_medium=referral&utm_source=google_books#otherversion=9780857290793 Springer Store]] | [[https://www.springer.com/de/book/9780857290786?utm_campaign=3_pier05_buy_print&utm_content=en_08082017&utm_medium=referral&utm_source=google_books#otherversion=9780857290793 Springer Store]] | ||
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Latest revision as of 10:52, 25 June 2018
Type: Book/Paperback
Authors: Colin Ware
Pages: 286
Publisher: Springer Science & Business Media
Publication Date: 2011
Time is an exceptional dimension that is common to many application domains such as medicine, engineering, business, science, biography, history, planning, or project management. Understanding time-oriented data enables us to learn from the past in order to predict, plan, and build the future. Due to the distinct characteristics of time, appropriate visual and analytical methods are required to explore and analyze them.
ISBN 978-0-85729-079-3