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dc.contributor.authorLong, J. A.
dc.contributor.authorWeibel, R.
dc.contributor.authorDodge, S.
dc.contributor.authorLaube, P.
dc.date.accessioned2019-05-17T23:38:08Z
dc.date.available2019-05-17T23:38:08Z
dc.date.issued2018-05
dc.identifier.citationLong , J A , Weibel , R , Dodge , S & Laube , P 2018 , ' Moving ahead with computational movement analysis ' , International Journal of Geographical Information Science , vol. 32 , no. 7 . https://doi.org/10.1080/13658816.2018.1442974en
dc.identifier.issn1365-8816
dc.identifier.otherPURE: 252973870
dc.identifier.otherPURE UUID: 4d776d91-6807-4229-9fdd-45d0ce95abb2
dc.identifier.otherScopus: 85047239740
dc.identifier.otherWOS: 000432634200001
dc.identifier.urihttps://hdl.handle.net/10023/17725
dc.language.isoeng
dc.relation.ispartofInternational Journal of Geographical Information Scienceen
dc.rights© 2018 Informa UK Limited, trading as Taylor & Francis Group. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1080/13658816.2018.1442974en
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectG Geography (General)en
dc.subjectT-NDASen
dc.subject.lccQA75en
dc.subject.lccG1en
dc.titleMoving ahead with computational movement analysisen
dc.typeJournal itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews. Bell-Edwards Geographic Data Instituteen
dc.identifier.doihttps://doi.org/10.1080/13658816.2018.1442974
dc.description.statusPeer revieweden
dc.date.embargoedUntil2019-05-18


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