Moving Together: Towards a Formalization of Collective Movement

Buchmüller, Juri; Cakmak, Eren; Andrienko, Natalia; Andrienko, Gennady; Jolles, Jolle W.; Keim, Daniel A.

Moving Together: Towards a Formalization of Collective Movement

Files

037-041.pdf (310.78 KB)

Date

2019

Authors

Buchmüller, Juri
Cakmak, Eren
Andrienko, Natalia
Andrienko, Gennady
Jolles, Jolle W.
Keim, Daniel A.

Publisher

The Eurographics Association

Abstract

While conventional applications for spatiotemporal datasets mostly focus on the relation between movers and environment, research questions in the analysis of collective movement typically focus more on relationships and dynamics between the moving entities themselves. Instead of concentrating on origin, destination and the way in between, this inter-mover perspective on spatiotemporal data allows to explain how moving groups are coordinating. Yet, only few visualization and Visual Analytics approaches focus on the relationships between movers. To illuminate this research gap, we propose initial steps towards a comprehensive formalization of coordination in collective movement based on temporal autocorrelation of distance matrices derived from basic movement characteristics. We exemplify how patterns can be encoded using autocorrelation cubes and outline the next steps towards an exhaustive formalization of coordination patterns.

        @inproceedings{10.2312:eurova.20191122
,
booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)
},
editor = {Landesberger, Tatiana von and Turkay, Cagatay
},
title = {{Moving Together: Towards a Formalization of Collective Movement
}},
author = {Buchmüller, Juri and 
Cakmak, Eren and 
Andrienko, Natalia and 
Andrienko, Gennady and 
Jolles, Jolle W. and 
Keim, Daniel A.
},
year = {2019
},
publisher = {The Eurographics Association
},
ISBN = {978-3-03868-087-1
},
DOI = {10.2312/eurova.20191122
}
}