Normal view MARC view ISBD view

Data visualization: principles and practice

By: Telea, Alexandru.
Material type: materialTypeLabelBookPublisher: Boca Raton CRC Press 2015Edition: 2nd ed.Description: xii, 605 p.ISBN: 9781466585263.Subject(s): Computer graphics | Information visualizationDDC classification: 001.4226028566 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
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)
Item type Current location Collection Call number Status Date due Barcode
Books Vikram Sarabhai Library
General Stacks
Non-fiction 001.4226028566 T3D2-2015 (Browse shelf) 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 for this item.

Log in to your account to post a comment.

Powered by Koha