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dc.contributor.authorWilliamson, Laura Dawn
dc.contributor.authorScott, Beth
dc.contributor.authorLaxton, Megan R.
dc.contributor.authorIllian, Janine B.
dc.contributor.authorTodd, Victoria L.G.
dc.contributor.authorMiller, Peter I.
dc.contributor.authorKate L., Brookes
dc.date.accessioned2022-05-27T13:41:01Z
dc.date.available2022-05-27T13:41:01Z
dc.date.issued2022-08-01
dc.identifier215381297
dc.identifier06f81d82-9475-4282-be4b-847310d3c151
dc.identifier85129618660
dc.identifier.citationWilliamson , L D , Scott , B , Laxton , M R , Illian , J B , Todd , V L G , Miller , P I & Kate L. , B 2022 , ' Comparing distribution of harbour porpoise using Generalized Additive Models and hierarchical Bayesian models with Integrated Nested Laplace Approximation ' , Ecological Modelling , vol. 470 , 110011 . https://doi.org/10.1016/j.ecolmodel.2022.110011en
dc.identifier.issn0304-3800
dc.identifier.urihttps://hdl.handle.net/2164/18646
dc.descriptionAcknowledgments We thank colleagues at the University of Aberdeen, Moray First Marine, NERI, Hi-Def Aerial Surveying Ltd and Ravenair for essential support in the field, particularly Tim Barton, Bill Ruck, Rasmus Nielson and Dave Rutter. L.D.W. was supported by the Marine Alliance for Science and Technology for Scotland (MASTS), the University of Aberdeen and Marine Scotland Science. Collaboration between the University of Aberdeen and Marine Scotland was supported by the Marine Collaboration Research Forum (MarCRF). Digital aerial surveys in 2010 were funded by Moray Offshore Renewables Ltd and 2014 by Marine Scotland. Additional funding for analysis of the combined datasets was provided by Marine Scotland. Collaboration between the University of Aberdeen and Marine Scotland was supported by MarCRF.en
dc.format.extent9
dc.format.extent1578522
dc.language.isoeng
dc.relation.ispartofEcological Modellingen
dc.subjectBayesian modelen
dc.subjectGeneralized additive model (GAM)en
dc.subjectIntegrated nested laplace approximation (INLA)en
dc.subjectHarbour porpoiseen
dc.subjectSpecies distribution modelen
dc.subjectQH301 Biologyen
dc.subjectSupplementary Dataen
dc.subject.lccQH301en
dc.titleComparing distribution of harbour porpoise using Generalized Additive Models and hierarchical Bayesian models with Integrated Nested Laplace Approximationen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Centre for Energy Transitionen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.description.statusPeer revieweden
dc.identifier.doi10.1016/j.ecolmodel.2022.110011


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