• 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