- ORCID iD
- 0000-0002-7921-433X
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- PhD Thesis
- open access
Developing new approaches for the analysis of movement data : a sport-oriented application
(2018) -
- Journal Article
- A1
- open access
A hybrid approach combining the multi-temporal scale spatio-temporal network with the continuous triangular model for exploring dynamic interactions in movement data : a case study of football
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Detecting hotspots of urban residents' behaviours based on spatio-temporal clustering techniques
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Visual exploration of match performance based on football movement data using the Continuous Triangular Model
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Clustering spatio-temporal trajectories based on kernel density estimation
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RGMF: a Reeb graph based moving flocks discovery algorithm