City Research Online

Abstract

To complement the currently existing definitions and conceptual frameworks of visual analytics, which focus mainly on activities performed by analysts and types of techniques they use, we attempt to define the expected results of these activities. We argue that the main goal of doing visual analytics is to build a mental and/or formal model of a certain piece of reality reflected in data. The purpose of the model may be to understand, to forecast or to control this piece of reality. Based on this model-building perspective, we propose a detailed conceptual framework in which the visual analytics process is considered as a goal-oriented workflow producing a model as a result. We demonstrate how this framework can be used for performing an analytical survey of the visual analytics research field and identifying the directions and areas where further research is needed.

Publication Type:	Article
Additional Information:	This is the pre-peer reviewed version of the following article: Andrienko, N., Lammarsch, T., Andrienko, G., Fuchs, G., Keim, D., Miksch, S. and Rind, A. (2018), Viewing Visual Analytics as Model Building. Computer Graphics Forum, 37: 275-299, which has been published in final form at http://dx.doi.org/10.1111/cgf.13324. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Publisher Keywords:	Visualization application domains, Visual analytics
Departments:	School of Science & Technology > Computer Science > giCentre
SWORD Depositor:	Symplectic Administrator

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