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  4. Extracting Movement-based Topics for Analysis of Space Use
 
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2023
Conference Paper
Title

Extracting Movement-based Topics for Analysis of Space Use

Abstract
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.
Author(s)
Andriyenko, Gennadiy
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Andriyenko, Nathaliya
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Hecker, Dirk  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Mainwork
EuroVA 2023, EuroVis Workshop on Visual Analytics  
Project(s)
Critical Action Planning over Extreme-Scale Data  
Funder
European Commission  
Conference
International Workshop on Visual Analytics 2023  
Open Access
File(s)
Download (12.76 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.2312/eurova.20231091
10.24406/publica-1900
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • Human-centered computing

  • Visual Analytics

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