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Extracting Movement-based Topics for Analysis of Space Use

Andrienko, G. ORCID: 0000-0002-8574-6295, Andrienko, N. & Hecker, D. (2023). Extracting Movement-based Topics for Analysis of Space Use. In: EuroVA: International Workshop on Visual Analytics. EuroVA 2023, 12 Jun 2023, Leipzig, Germany. doi: 10.2312/eurova.20231091


We present a novel approach to analyze spatio-temporal movement patterns using topic modeling. Our approach represents trajectories as sequences of place visits and moves, applies topic modeling separately to each collection of sequences, and synthesizes results. This supports the identification of dominant topics for both place visits and moves, the exploration of spatial and temporal patterns of movement, enabling understanding of space use. The approach is applied to two real-world data sets of car movements in Milan and UK road traffic, demonstrating the ability to uncover meaningful patterns and insights.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © 2023 The Authors. Proceedings published by Eurographics - The European Association for Computer Graphics. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Publisher Keywords: Human-centered computing, Visual Analytics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science
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