Some Theoretical Issues of Scientific Visualization as a Method of Data Analysis

Pilyugin, V.V.; Malikova, Eugeniya; Adzhiev, Valery; Pasko, Alexander

doi:10.1007/978-3-642-39759-2_10

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…Solution of this problem involves a well-known sequence of steps. The algorithm of translating the initial data to a graphic image is known as visualization pipeline [7]. The steps are:  Sourcing is the step of obtaining raw data .…”

Section: Original Data Visualizationmentioning

confidence: 99%

Visual analytics and its use in the NRNU MEPhI “Scientific Visualization” laboratory activities

Pilyugin¹,

Milman²

2019

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The article discusses visual analytics, which, according to J. Thomas, is understood as the solution of problems of data analysis using a facilitating interactive visual interface. Today, visual analytics is widely used in various fields -in research, design, management and others, due to the well-known predisposition of people to spatial thinking. Despite the wide usage, according to the authors, the theoretical aspects of visual analytics are not well developed at present, which is certainly a limiting factor in the development of visual analytics tools and its effective use in practice. It is declared in the article, that one of the most common of the forms of visual analytics is solution of data analysis problems using the visualization method. The visualization method is described in details and a number of works done by the "Scientific Visualization" laboratory NRNU MEPhI in this area are presented as an example of usage of the visualization method. The works were performed in different subject areas from physics to finance and monitoring.

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Section: Original Data Visualizationmentioning

confidence: 99%

Visual analytics and its use in the NRNU MEPhI “Scientific Visualization” laboratory activities

Pilyugin¹,

Milman²

2019

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“…While (Keim, 2008) mentions a single-step mapping from a data set to its visual representation within the visual analytics process, (Pilyugin, 2013) goes further and states that to obtain such a visual representation (or a graphical image), one needs to put some geometric model (multidimensional in the general case) into correspondence with the initial data. It means that a spatial scene, which is an assembly of spatial objects with their geometric and optical descriptions, has first to be constructed and then a graphical image can be generated using some rendering procedure for its further visual analysis.…”

Section: Visualization and Visual Analyticsmentioning

confidence: 99%

“…As it was mentioned above, multisensory analytics can be considered an extension of visual analytics involving more than one human senses in the process of data analysis. Based on the visual analytics process as presented in (Keim, 2008) and the idea of an intermediate multidimensional geometric representation of initial data (Pilyugin, 2013), we propose the following interpretation of the basic multisensory analytics process.…”

Section: An Approach To Multisensory Analyticsmentioning

confidence: 99%

Multisensory Analytics: Case of Visual-auditory Analysis of Scalar Fields

Malikova

Pilyugin

Adzhiev

et al. 2017

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Application

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A well-known definition of visualization is the mapping of initial data to a visual representation, which can be perceived and interpreted by humans. Human senses include not only vision, but also hearing, sense of touch, smell and others including their combinations. Visual analytics and its more general version that we call Multisensory Analytics are areas that consider visualization as one of its components. We present a particular case of the multisensory analytics with a hybrid visual-auditory representation of data to show how auditory display can be used in the context of data analysis. Some generalizations based on using real-valued vector functions for solving data analysis problems by means of multisensory analytics are proposed. These generalizations might be considered as a first step to formalization of the correspondence between the initial data and various sensory stimuli. An illustration of our approach with a case study of analysis of a scalar field using both visual and auditory data representations is given. 322Malikova E.

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“…Then corresponding visual, sound and other stimuli can be generated using some specialized rendering procedures for further multicensory analysis. Based on the visual analytics process as presented in [17] and the idea of an intermediate multidimensional geometric representation of initial data [18], we proposed [9] the following interpretation of the basic multisensory analysis process 1. I from initial data D to insight I, which is the goal of the entire process.…”

Section: Multisensory Visualization In Modern Research Related Workmentioning

confidence: 99%

Multisensory Analytics for Several Interconnected Scalar Fields Analysis

Malikova

Pasko

Adzhiev

et al. 2017

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In our day it's hard to imagine modern research in sophisticated scientific area without use of visual analytics tools. However, humans are able to receive and analyze information about world around them not only through their eyes, but with help of other sensory stimuli as well and there is no reason why scientific data analyses should be an exception. As a result there is a lot of research done recently in area of multimodal interfaces that are сcharacterized by various sensory stimuli involvement and especially in visual-auditory interfaces development. In this work we introduce multisensory analytics approach, discuss theoretical issues, introduce main concepts of software tools implementing our approach, describe one of the possible auditory-visual mappings methods for particular case of scalar fields analyses -simultaneous interconnected scalar fields analyses and give practical examples.

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Some Theoretical Issues of Scientific Visualization as a Method of Data Analysis

Cited by 5 publications

References 7 publications

Visual analytics and its use in the NRNU MEPhI “Scientific Visualization” laboratory activities

Visual analytics and its use in the NRNU MEPhI “Scientific Visualization” laboratory activities

Multisensory Analytics: Case of Visual-auditory Analysis of Scalar Fields

Multisensory Analytics for Several Interconnected Scalar Fields Analysis

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