A conceptual framework and taxonomy of techniques for analyzing movement


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ANDRIENKO, Gennady, Nathaliya ANDRIENKO, Peter BAK, Daniel KEIM, Slava KISILEVICH, Stefan WROBEL, 2011. A conceptual framework and taxonomy of techniques for analyzing movement. In: Journal of Visual Languages & Computing. 22(3), pp. 213-232. ISSN 1045-926X

@article{Andrienko2011conce-19089, title={A conceptual framework and taxonomy of techniques for analyzing movement}, year={2011}, doi={10.1016/j.jvlc.2011.02.003}, number={3}, volume={22}, issn={1045-926X}, journal={Journal of Visual Languages & Computing}, pages={213--232}, author={Andrienko, Gennady and Andrienko, Nathaliya and Bak, Peter and Keim, Daniel and Kisilevich, Slava and Wrobel, Stefan} }

Keim, Daniel A conceptual framework and taxonomy of techniques for analyzing movement Kisilevich, Slava deposit-license Wrobel, Stefan 2012-04-19T13:28:45Z Bak, Peter Kisilevich, Slava Andrienko, Gennady eng Wrobel, Stefan 2011 Andrienko, Nathaliya Publ. in: Journal of Visual Languages & Computing ; 22 (2011), 3. - pp. 213-232 2012-04-19T13:28:45Z Andrienko, Nathaliya Movement data link together space, time, and objects positioned in space and time. They hold valuable and multifaceted information about moving objects, properties of space and time as well as events and processes occurring in space and time. We present a conceptual framework that describes in a systematic and comprehensive way the possible types of information that can be extracted from movement data and on this basis defines the respective types of analytical tasks. Tasks are distinguished according to the type of information they target and according to the level of analysis, which may be elementary (i.e. addressing specific elements of a set) or synoptic (i.e. addressing a set or subsets). We also present a taxonomy of generic analytic techniques, in which the types of tasks are linked to the corresponding classes of techniques that can support fulfilling them. We include techniques from several research fields: visualization and visual analytics, geographic information science, database technology, and data mining.<br />We expect the taxonomy to be valuable for analysts and researchers. Analysts will receive guidance in choosing suitable analytic techniques for their data and tasks. Researchers will learn what approaches exist in different fields and compare or relate them to the approaches they are going to undertake. Keim, Daniel Bak, Peter Andrienko, Gennady

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