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An Interactive Approach for Exploration of Flows Through Direction-Based Filtering

Vrotsou, K., Fuchs, G., Andrienko, N. ORCID: 0000-0003-3313-1560 & Andrienko, G. ORCID: 0000-0002-8574-6295 (2017). An Interactive Approach for Exploration of Flows Through Direction-Based Filtering. Journal of Geovisualization and Spatial Analysis, 1(1-2), doi: 10.1007/s41651-017-0001-7


This paper is concerned with the representation and exploration of flows, defined as spatial interactions between geographic locations. Flows are challenging to display in a comprehensible manner due to the nature of the data, which are characterized by many crossings and overlaps leading to clutter. A number of different strategies have been suggested for addressing this problem, which commonly involve reducing the search space, aggregating the data or simplifying the representations often at the cost of information loss or distortion of spatial context. We propose an interactive approach for exploring large and highly connected networks of flows without distorting the geographical space and without losing the context overview in the process. The approach is based on a flow-specific interaction technique for filtering the data by direction, that enables an analyst to successively identify underlying spatial arrangement patterns. We illustrate our approach through exploring flows of tourists and locals in the Greater London area.

Publication Type: Article
Additional Information: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Publisher Keywords: Flow analysis, Spatial arrangement pattern, Interactive query, Direction-based filtering
Subjects: G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science > giCentre
Text - Published Version
Available under License Creative Commons: Attribution International Public License 4.0.

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