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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.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 .
dc.identifier.otherPURE: 280991783
dc.identifier.otherPURE UUID: aa605baa-db86-45ea-83c2-57136a782905
dc.identifier.otherRIS: urn:576610A9A4E2A2EFA5A7DE3329603B5B
dc.identifier.otherWOS: 000853218100011
dc.identifier.otherScopus: 85139007164
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.rightsThis is an open access article, free of all copyright, made available under the Creative Commons Public Domain Dedication. This work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.en
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.titleEstimating uncertainty in density surface modelsen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
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.description.statusPeer revieweden

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