Extracting Movement-based Topics for Analysis of Space Use

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019-024.pdf (12.76 MB)
Date
2023
Authors
Andrienko, Gennady
Andrienko, Natalia
Hecker, Dirk
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description

CCS Concepts: Human-centered computing -> Visual Analytics

        
@inproceedings{
10.2312:eurova.20231091
,
booktitle = {
EuroVis Workshop on Visual Analytics (EuroVA)
},
editor = {
Angelini, Marco
 and 
El-Assady, Mennatallah
},
title = {{
Extracting Movement-based Topics for Analysis of Space Use
}},
author = {
Andrienko, Gennady
 and 
Andrienko, Natalia
 and 
Hecker, Dirk
},
year = {
2023
},
publisher = {
The Eurographics Association
},
ISSN = {
2664-4487
},
ISBN = {
978-3-03868-222-6
},
DOI = {
10.2312/eurova.20231091
}
}
Citation
URI
https://doi.org/10.2312/eurova.20231091
 https://diglib.eg.org:443/handle/10.2312/eurova20231091
Collections
EuroVA2023