DocumentCode
1796715
Title
What can spatial collectives tell us about their environment?
Author
Wood, Zena
Author_Institution
Dept. of Comput. & Inf. Syst., Univ. of Greenwich, London, UK
fYear
2014
fDate
9-12 Dec. 2014
Firstpage
329
Lastpage
336
Abstract
Understanding how large groups of individuals move within their environment, and the social interactions that occur during this movement, is central to many fundamental interdisciplinary research questions; ranging from understanding the evolution of cooperation, to managing human crowd behaviour. If we could understand how groups of individuals interact with their environment, and any role that the environment plays in their behaviour, we could design and develop space to better suit their needs. Spatiotemporal datasets that record the movement of large groups of individuals are becoming increasingly available. A method, based on a set of coherence criteria, has previously been developed to identify different types of collective within such datasets. However, further investigations have revealed that the method can be used to reveal important information about the environment. This paper applies the method to a spatiotemporal dataset that records the movements of ships within the Solent, in the UK, over a twenty-four hour period to explore what can be inferred from the movement of groups of individuals, referred to as spatial collectives, regarding the environment.
Keywords
behavioural sciences computing; human crowd behaviour; social interaction; spatial collectives; spatiotemporal datasets; Animals; Data mining; Marine vehicles; Ports (Computers); Spatial coherence; Spatiotemporal phenomena; Time factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on
Conference_Location
Orlando, FL
Type
conf
DOI
10.1109/CIDM.2014.7008686
Filename
7008686
Link To Document