Foundations of Data Visualization (Hardback)Min Chen (editor), Helwig Hauser (editor), Penny Rheingans (editor), Gerik Scheuermann (editor)
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Data visualization is a relatively young scientific discipline. Over the last three decades, a large collection of computer-supported visualization techniques have been developed, and the merits and benefits of using these techniques have been evidenced by numerous applications in practice. These technical advancements have given rise to the scientific curiosity about some fundamental questions such as why and how visualization works, when it is useful or effective and when it is not, what are the primary factors affecting its usefulness and effectiveness, and so on. This book signifies timely and exciting opportunities to answer such fundamental questions by building on the wealth of knowledge and experience accumulated in developing and deploying visualization technology in practice.
Publisher: Springer Nature Switzerland AG
Number of pages: 389
Weight: 776 g
Dimensions: 235 x 155 mm
Edition: 1st ed. 2020
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