Amazon cover image
Image from Amazon.com

Data visualization: principles and practice

By: Material type: TextTextPublication details: Boca Raton CRC Press 2015Edition: 2nd edDescription: xii, 605 pISBN:
  • 9781466585263
Subject(s): DDC classification:
  • 001.4226028566 T3D2-2015
Summary: Designing a complete visualization system involves many subtle decisions. When designing a complex, real-world visualization system, such decisions involve many types of constraints, such as performance, platform (in)dependence, available programming languages and styles, user-interface toolkits, input/output data format constraints, integration with third-party code, and more. Focusing on those techniques and methods with the broadest applicability across fields, the second edition of Data Visualization: Principles and Practice provides a streamlined introduction to various visualization techniques. The book illustrates a wide variety of applications of data visualizations, illustrating the range of problems that can be tackled by such methods, and emphasizes the strong connections between visualization and related disciplines such as imaging and computer graphics. It covers a wide range of sub-topics in data visualization: data representation; visualization of scalar, vector, tensor, and volumetric data; image processing and domain modeling techniques; and information visualization. (http://www.crcpress.com/product/isbn/9781466585263)
List(s) this item appears in: VR_Healthcare Analytics | Big data | VR_Data Analytics, Data Visualization and Big Data | Data Visualization
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Item location Collection Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 1-A / Slot 6 (0 Floor, West Wing) Non-fiction General Stacks 001.4226028566 T3D2-2015 (Browse shelf(Opens below)) Available 188391

Designing a complete visualization system involves many subtle decisions. When designing a complex, real-world visualization system, such decisions involve many types of constraints, such as performance, platform (in)dependence, available programming languages and styles, user-interface toolkits, input/output data format constraints, integration with third-party code, and more.
Focusing on those techniques and methods with the broadest applicability across fields, the second edition of Data Visualization: Principles and Practice provides a streamlined introduction to various visualization techniques. The book illustrates a wide variety of applications of data visualizations, illustrating the range of problems that can be tackled by such methods, and emphasizes the strong connections between visualization and related disciplines such as imaging and computer graphics. It covers a wide range of sub-topics in data visualization: data representation; visualization of scalar, vector, tensor, and volumetric data; image processing and domain modeling techniques; and information visualization.
(http://www.crcpress.com/product/isbn/9781466585263)

There are no comments on this title.

to post a comment.