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Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


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Data visualization : principles and practice / Alexandru Telea.

By: Material type: TextTextPublication details: Boca Raton : CRC Press, c2015.Edition: 2nd edDescription: xii, 605 p. : illustrations (some color) ; 25 cmISBN:
  • 9781466585263 (hardback)
Subject(s): DDC classification:
  • 001.4226028566 23 T267
Contents:
1. Introduction-- 2. From graphics to visualization-- 3. Data representation-- 4. The visualization pipeline-- 5. Scalar visualization-- 6. Vector visualization-- 7. Tensor visualization-- 8. Domain-modeling techniques-- 9. Image visualization-- 10. Volume visualization-- 11. Information visualization-- 12. Conclusion-- Bibliography-- Index.
Summary: "This book explores the study of processing and visually representing data sets. Data visualization is closely related to information graphics, information visualization, scientific visualization, and statistical graphics. This second edition presents a better treatment of the relationship between traditional scientific visualization and information visualization, a description of the emerging field of visual analytics, and updated techniques using the GPU and new generations of software tools and packages. This edition is also enhanced with exercises and downloadable code and data sets"--
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 001.4226028566 T267 (Browse shelf(Opens below)) Available 136027
Total holds: 0

Includes bibliographical references (pages 575-598) and index.

1. Introduction--
2. From graphics to visualization--
3. Data representation--
4. The visualization pipeline--
5. Scalar visualization--
6. Vector visualization--
7. Tensor visualization--
8. Domain-modeling techniques--
9. Image visualization--
10. Volume visualization--
11. Information visualization--
12. Conclusion--
Bibliography--
Index.

"This book explores the study of processing and visually representing data sets. Data visualization is closely related to information graphics, information visualization, scientific visualization, and statistical graphics. This second edition presents a better treatment of the relationship between traditional scientific visualization and information visualization, a description of the emerging field of visual analytics, and updated techniques using the GPU and new generations of software tools and packages. This edition is also enhanced with exercises and downloadable code and data sets"--

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