ISSN 2079-3537      

 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                                                                                             
Scientific Visualization
Issue Year: 2013
Quarter: 2
Volume: 5
Number: 2
Pages: 25 - 33
Article Name: SCIENTIFIC DATA ANALYSIS BY THE METHOD OF EXTENDED VISUALIZATION
Authors: E. Malikova (Russian Federation), V. Pilyugin (Russian Federation), V. Adzhiev (United Kingdom), G. Pasko (Norway), A. Pasko (United Kingdom)
Address: E. Malikova
malikova@sv-journal.com
National Research Nuclear University "MEPhI", Moscow, Russian Federation
 
V. Pilyugin
pilyugin@sv-journal.com
National Research Nuclear University "MEPhI", Moscow, Russian Federation
 
V. Adzhiev
vadzhiev@bournemouth.ac.uk
National Centre for Computer Animation, Bournemouth University, Bournemouth, United Kingdom
 
G. Pasko
gip@pasko.org
Uformia AS, Furuflaten, Norway
 
A. Pasko
apasko@bournemouth.ac.uk
National Centre for Computer Animation, Bournemouth University, Bournemouth, United Kingdom
Abstract: A general definition of visualization is a mapping of data to a representation that can be perceived. Types of this representation can be not only visual, but auditory, tactile, and others directly related to human senses or combinations of them. A formal framework for mapping data to various sensory stimuli is an open research issue. In this paper, we discuss extended scientific visualization as a method of data analysis. A formalization of establishing correspondences between the initial data and multiple human perception inputs is proposed. We introduce an approach to mapping data through multidimensional geometric models onto multimedia objects based on multimedia coordinates, and illustrate this approach with a case study of scalar fields analysis involving both visual and auditory representations.
Language: English