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dc.contributor.authorLong, Jed Andrew
dc.contributor.authorNelson, Trisalyn A.
dc.date.accessioned2014-10-07T23:01:33Z
dc.date.available2014-10-07T23:01:33Z
dc.date.issued2013-02
dc.identifier.citationLong , J A & Nelson , T A 2013 , ' Measuring Dynamic Interaction in Movement Data ' , Transactions in GIS , vol. 17 , no. 1 , pp. 62-77 . https://doi.org/10.1111/j.1467-9671.2012.01353.xen
dc.identifier.issn1361-1682
dc.identifier.otherPURE: 51144524
dc.identifier.otherPURE UUID: 479cc8da-d5c9-41ce-a848-6eec4bc65776
dc.identifier.otherWOS: 000314493800004
dc.identifier.otherScopus: 84873299470
dc.identifier.urihttps://hdl.handle.net/10023/5533
dc.description.abstractThe emergence of technologies capable of storing detailed records of object locations has presented scientists and researchers with a wealth of data on object movement. Yet analytical methods for investigating more advanced research questions from such detailed movement datasets remain limited in scope and sophistication. Recent advances in the study of movement data has focused on characterizing types of dynamic interactions, such as single-file motion, while little progress has been made on quantifying the degree of such interactions. In this article, we introduce a new method for measuring dynamic interactions (termed DI) between pairs of moving objects. Simulated movement datasets are used to compare DI with an existing correlation statistic. Two applied examples, team sports and wildlife, are used to further demonstrate the value of the DI approach. The DI method is advantageous in that it measures interaction in both movement direction (termed azimuth) and displacement. Also, the DI approach can be applied at local, interval, episodal, and global levels of analysis. However the DI method is limited to situations where movements of two objects are recorded at simultaneous points in time. In conclusion, DI quantifies the level of dynamic interaction between two moving objects, allowing for more thorough investigation of processes affecting interactive moving objects.
dc.format.extent16
dc.language.isoeng
dc.relation.ispartofTransactions in GISen
dc.rights© 2012. Blackwell Publishing Ltd. This is the peer reviewed version of the following article: Measuring Dynamic Interaction in Movement Data Long, J. A. & Nelson, T. A. Feb 2013 In : Transactions in GIS. 17, 1, p. 62-77, which has been published in final form at http://dx.doi.org/10.1111/j.1467-9671.2012.01353.x. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.en
dc.subjectAlbertaen
dc.subjectTrajectoriesen
dc.subjectTracking dataen
dc.subjectSpaceen
dc.subjectObjectsen
dc.subjectBehavioren
dc.subjectPatternsen
dc.subjectGE Environmental Sciencesen
dc.subjectG Geography (General)en
dc.subject.lccGEen
dc.subject.lccG1en
dc.titleMeasuring Dynamic Interaction in Movement Dataen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews. Centre for Geoinformaticsen
dc.contributor.institutionUniversity of St Andrews. Bell-Edwards Geographic Data Instituteen
dc.identifier.doihttps://doi.org/10.1111/j.1467-9671.2012.01353.x
dc.description.statusPeer revieweden
dc.date.embargoedUntil2014-10-08


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