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Visualization of time-oriented data

Record Type:	Electronic resources : Monograph/item
Title/Author:	Visualization of time-oriented data/ by Wolfgang Aigner ... [et al.].
other author:	Aigner, Wolfgang.
Published:	London :Springer London : : 2023.,
Description:	xix, 441 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	1 Introduction -- 2 Historical Background -- 3 Time & Time-Oriented Data -- 4 Crafting Visualizations of Time-Oriented Data -- 5 Involving the Human via Interaction -- 6 Computational Analysis Support -- 7 Guiding the Selection of Visualization Techniques -- 8 Conclusion.
Contained By:	Springer Nature eBook
Subject:	Information visualization. -
Online resource:	https://doi.org/10.1007/978-1-4471-7527-8
ISBN:	9781447175278

Visualization of time-oriented data
Visualization of time-oriented data[electronic resource] /by Wolfgang Aigner ... [et al.]. - Second edition. - London :Springer London :2023. - xix, 441 p. :ill. (chiefly color), digital ;24 cm. - Human-computer interaction series,2524-4477. - Human-computer interaction series..

1 Introduction -- 2 Historical Background -- 3 Time & Time-Oriented Data -- 4 Crafting Visualizations of Time-Oriented Data -- 5 Involving the Human via Interaction -- 6 Computational Analysis Support -- 7 Guiding the Selection of Visualization Techniques -- 8 Conclusion.

Open access.

This is an open access book. Time is an exceptional dimension with high relevance in medicine, engineering, business, science, biography, history, planning, or project management. Understanding time-oriented data via visual representations enables us to learn from the past in order to predict, plan, and build the future. This second edition builds upon the great success of the first edition. It maintains a brief introduction to visualization and a review of historical time-oriented visual representations. At its core, the book develops a systematic view of the visualization of time-oriented data. Separate chapters discuss interaction techniques and computational methods for supporting the visual data analysis. Many examples and figures illustrate the introduced concepts and techniques. So, what is new for the second edition? First of all, the second edition is now published as an open-access book so that anyone interested in the visualization of time and time-oriented data can read it. Second, the entire content has been revised and expanded to represent state-of-the-art knowledge. The chapter on interaction support now includes advanced methods for interacting with visual representations of time-oriented data. The second edition also covers the topics of data quality as well as segmentation and labeling. The comprehensive survey of classic and contemporary visualization techniques now provides more than 150 self-contained descriptions accompanied by illustrations and corresponding references. A completely new chapter describes how the structured survey can be used for the guided selection of suitable visualization techniques. For the second edition, our TimeViz Browser, the digital pendant to the survey of visualization techniques, received a major upgrade. It includes the same set of techniques as the book, but comes with additional filter and search facilities allowing scientists and practitioners to find exactly the solutions they are interested in.

ISBN: 9781447175278

Standard No.: 10.1007/978-1-4471-7527-8doiSubjects--Topical Terms:

615673
Information visualization.

LC Class. No.: TK7882.I6

Dewey Class. No.: 001.4226

Visualization of time-oriented data
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245 0 0 $a Visualization of time-oriented data $h [electronic resource] / $c by Wolfgang Aigner ... [et al.].
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260 $a London : $b Springer London : $b Imprint: Springer, $c 2023.
300 $a xix, 441 p. : $b ill. (chiefly color), digital ; $c 24 cm.
490 1 $a Human-computer interaction series, $x 2524-4477
505 0 $a 1 Introduction -- 2 Historical Background -- 3 Time & Time-Oriented Data -- 4 Crafting Visualizations of Time-Oriented Data -- 5 Involving the Human via Interaction -- 6 Computational Analysis Support -- 7 Guiding the Selection of Visualization Techniques -- 8 Conclusion.
506 $a Open access.
520 $a This is an open access book. Time is an exceptional dimension with high relevance in medicine, engineering, business, science, biography, history, planning, or project management. Understanding time-oriented data via visual representations enables us to learn from the past in order to predict, plan, and build the future. This second edition builds upon the great success of the first edition. It maintains a brief introduction to visualization and a review of historical time-oriented visual representations. At its core, the book develops a systematic view of the visualization of time-oriented data. Separate chapters discuss interaction techniques and computational methods for supporting the visual data analysis. Many examples and figures illustrate the introduced concepts and techniques. So, what is new for the second edition? First of all, the second edition is now published as an open-access book so that anyone interested in the visualization of time and time-oriented data can read it. Second, the entire content has been revised and expanded to represent state-of-the-art knowledge. The chapter on interaction support now includes advanced methods for interacting with visual representations of time-oriented data. The second edition also covers the topics of data quality as well as segmentation and labeling. The comprehensive survey of classic and contemporary visualization techniques now provides more than 150 self-contained descriptions accompanied by illustrations and corresponding references. A completely new chapter describes how the structured survey can be used for the guided selection of suitable visualization techniques. For the second edition, our TimeViz Browser, the digital pendant to the survey of visualization techniques, received a major upgrade. It includes the same set of techniques as the book, but comes with additional filter and search facilities allowing scientists and practitioners to find exactly the solutions they are interested in.
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856 4 0 $u https://doi.org/10.1007/978-1-4471-7527-8
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