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dc.contributor.authorVan Der Wal, Rene
dc.contributor.authorZeng, Cheng
dc.contributor.authorHeptinstall, Danny
dc.contributor.authorPonnamperuma, Kapila
dc.contributor.authorMellish, Chris
dc.contributor.authorBenn, Stuart
dc.contributor.authorSiddharthan, Advaith
dc.date.accessioned2016-06-01T11:40:03Z
dc.date.available2016-06-01T11:40:03Z
dc.date.issued2015-10-27
dc.identifier65723005
dc.identifierbbcbfb45-f2ed-4200-8256-331e3ccc94b6
dc.identifier84945298422
dc.identifier.citationVan Der Wal , R , Zeng , C , Heptinstall , D , Ponnamperuma , K , Mellish , C , Benn , S & Siddharthan , A 2015 , ' Automated data analysis to rapidly derive and communicate ecological insights from satellite-tag data : A case study of reintroduced red kites ' , Ambio , vol. 44 , no. Suppl. 4 , pp. S612-S623 . https://doi.org/10.1007/s13280-015-0711-3en
dc.identifier.issn0044-7447
dc.identifier.urihttp://hdl.handle.net/2164/6054
dc.descriptionAcknowledgements We thank Andrew Spink (Noldus Information Technology) and the Blogging Birds team members Peter Kindness and Abdul Adeniyi for their valuable contributions to this paper. John Fryxell, Chris Thaxter and Arjun Amar provided valuable comments on an earlier version. The study was part of the Digital Conservation project of dot.rural, the University of Aberdeen’s Digital Economy Research Hub, funded by RCUK (grant reference EP/G066051/1).en
dc.format.extent12
dc.format.extent2422136
dc.language.isoeng
dc.relation.ispartofAmbioen
dc.subjectautomated home-range calculationen
dc.subjectred kite reintroductionen
dc.subjectsatellite-tag dataen
dc.subjectscience communicationen
dc.subjectQH301 Biologyen
dc.subjectEngineering and Physical Sciences Research Council (EPSRC)en
dc.subjectEP/G066051/1en
dc.subject.lccQH301en
dc.titleAutomated data analysis to rapidly derive and communicate ecological insights from satellite-tag data : A case study of reintroduced red kitesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.description.statusPeer revieweden
dc.identifier.doi10.1007/s13280-015-0711-3


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