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dc.contributor.authorMiller, David L.
dc.contributor.authorBecker, Elizabeth A.
dc.contributor.authorForney, Karin A.
dc.contributor.authorRoberts, Jason J.
dc.contributor.authorCañadas, Ana
dc.contributor.authorSchick, Robert S.
dc.date.accessioned2022-08-23T09:31:57Z
dc.date.available2022-08-23T09:31:57Z
dc.date.issued2022-08-23
dc.identifier280991783
dc.identifieraa605baa-db86-45ea-83c2-57136a782905
dc.identifier000853218100011
dc.identifier85139007164
dc.identifier.citationMiller , D L , Becker , E A , Forney , K A , Roberts , J J , Cañadas , A & Schick , R S 2022 , ' Estimating uncertainty in density surface models ' , PeerJ , vol. 10 , e13950 . https://doi.org/10.7717/peerj.13950en
dc.identifier.issn2167-8359
dc.identifier.otherRIS: urn:576610A9A4E2A2EFA5A7DE3329603B5B
dc.identifier.urihttps://hdl.handle.net/10023/25879
dc.descriptionThis work was funded by OPNAV N45 and the SURTASS LFA Settlement Agreement, and being managed by the U.S. Navy’s Living Marine Resources program under Contract No. N39430-17-C-1982.en
dc.description.abstractProviding uncertainty estimates for predictions derived from species distribution models is essential for management but there is little guidance on potential sources of uncertainty in predictions and how best to combine these. Here we show where uncertainty can arise in density surface models (a multi-stage spatial modelling approach for distance sampling data), focussing on cetacean density modelling. We propose an extensible, modular, hybrid analytical-simulation approach to encapsulate these sources. We provide example analyses of fin whales Balaenoptera physalus in the California Current Ecosystem.
dc.format.extent19
dc.format.extent4867807
dc.language.isoeng
dc.relation.ispartofPeerJen
dc.subjectDensity surface modelsen
dc.subjectDistance samplingen
dc.subjectUncertainty quantificationen
dc.subjectSpatial modellingen
dc.subjectSpecies distribution modellingen
dc.subjectModel uncertaintyen
dc.subjectEnvironmental uncertaintyen
dc.subjectQH301 Biologyen
dc.subjectGA Mathematical geography. Cartographyen
dc.subjectDASen
dc.subjectMCCen
dc.subject.lccQH301en
dc.subject.lccGAen
dc.titleEstimating uncertainty in density surface modelsen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Applied Mathematicsen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doihttps://doi.org/10.7717/peerj.13950
dc.description.statusPeer revieweden


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