Data visualization is currently a very active and vital area of
research, teaching and development. The term unites the established
field of scientific visualization and the more recent field of
information visualization. The success of data visualization is due
to the soundness of the basic idea behind it: the use of
computer-generated images to gain insight and knowledge from data
and its inherent patterns and relationships. A second premise is
the utilization of the broad bandwidth of the human sensory system
in steering and interpreting complex processes, and simulations
involving data sets from diverse scientific disciplines and large
collections of abstract data from many sources.
These concepts are extremely important and have a profound and
widespread impact on the methodology of computational science and
engineering, as well as on management and administration. The
interplay between various application areas and their specific
problem solving visualization techniques is emphasized in this
book. Reflecting the heterogeneous structure of Data Visualization,
emphasis was placed on these topics:
-Visualization Algorithms and Techniques;
-Volume Visualization;
-Information Visualization;
-Multiresolution Techniques;
-Interactive Data Exploration. Data Visualization: The State of the
Art presents the state of the art in scientific and information
visualization techniques by experts in this field. It can serve as
an overview for the inquiring scientist, and as a basic foundation
for developers. This edited volume contains chapters dedicated to
surveys of specific topics, and a great deal of original work not
previously published illustrated by examples from awealth of
applications. The book will also provide basic material for
teaching the state of the art techniques in data visualization. The
companion CD-ROM contains all chapters in digital form with
illustrations in color, as well as additional high-quality images
and movies.
Data Visualization: The State of the Art is designed to meet the
needs of practitioners and researchers in scientific and
information visualization. This book is also suitable as a
secondary text for graduate level students in computer science and
engineering.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
