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An Updated Guide to the Visualization of Data for Designers, Users,
and Researchers Interactive Data Visualization: Foundations,
Techniques, and Applications, Second Edition provides all the
theory, details, and tools necessary to build visualizations and
systems involving the visualization of data. In color throughout,
it explains basic terminology and concepts, algorithmic and
software engineering issues, and commonly used techniques and
high-level algorithms. Full source code is provided for completing
implementations. New to the Second Edition New related readings,
exercises, and programming projects Better quality figures and
numerous new figures New chapter on techniques for time-oriented
data This popular book continues to explore the fundamental
components of the visualization process, from the data to the human
viewer. For developers, the book offers guidance on designing
effective visualizations using methods derived from human
perception, graphical design, art, and usability analysis. For
practitioners, it shows how various public and commercial
visualization systems are used to solve specific problems in
diverse domains. For researchers, the text describes emerging
technology and hot topics in development at academic and industrial
centers today. Each chapter presents several types of exercises,
including review questions and problems that motivate readers to
build on the material covered and design alternate approaches to
solving a problem. In addition, programming projects encourage
readers to perform a range of tasks, from the simple implementation
of algorithms to the extension of algorithms and programming
techniques. Web ResourceA supplementary website includes
downloadable software tools and example data sets, enabling
hands-on experience with the techniques covered in the text. The
site also offers links to useful data repositories and data file
formats, an up-to-date listing of software packages and vendors,
and instructional tools, such as reading lists, lecture slides, and
demonstration programs.
This book is the outcome of the Dagstuhl Seminar 13201 on
Information Visualization - Towards Multivariate Network
Visualization, held in Dagstuhl Castle, Germany in May 2013. The
goal of this Dagstuhl Seminar was to bring together theoreticians
and practitioners from Information Visualization, HCI and Graph
Drawing with a special focus on multivariate network visualization,
i.e., on graphs where the nodes and/or edges have additional
(multidimensional) attributes. The integration of multivariate data
into complex networks and their visual analysis is one of the big
challenges not only in visualization, but also in many application
areas. Thus, in order to support discussions related to the
visualization of real world data, also invited researchers from
selected application areas, especially bioinformatics, social
sciences and software engineering. The unique "Dagstuhl climate"
ensured an open and undisturbed atmosphere to discuss the
state-of-the-art, new directions and open challenges of
multivariate network visualization.
An Updated Guide to the Visualization of Data for Designers, Users,
and Researchers Interactive Data Visualization: Foundations,
Techniques, and Applications, Second Edition provides all the
theory, details, and tools necessary to build visualizations and
systems involving the visualization of data. In color throughout,
it explains basic terminology and concepts, algorithmic and
software engineering issues, and commonly used techniques and
high-level algorithms. Full source code is provided for completing
implementations. New to the Second Edition New related readings,
exercises, and programming projects Better quality figures and
numerous new figures New chapter on techniques for time-oriented
data This popular book continues to explore the fundamental
components of the visualization process, from the data to the human
viewer. For developers, the book offers guidance on designing
effective visualizations using methods derived from human
perception, graphical design, art, and usability analysis. For
practitioners, it shows how various public and commercial
visualization systems are used to solve specific problems in
diverse domains. For researchers, the text describes emerging
technology and hot topics in development at academic and industrial
centers today. Each chapter presents several types of exercises,
including review questions and problems that motivate readers to
build on the material covered and design alternate approaches to
solving a problem. In addition, programming projects encourage
readers to perform a range of tasks, from the simple implementation
of algorithms to the extension of algorithms and programming
techniques. Web ResourceA supplementary website includes
downloadable software tools and example data sets, enabling
hands-on experience with the techniques covered in the text. The
site also offers links to useful data repositories and data file
formats, an up-to-date listing of software packages and vendors,
and instructional tools, such as reading lists, lecture slides, and
demonstration programs.
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