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dc.contributor.authorJones-Todd, Charlotte M.
dc.contributor.authorSwallow, Ben
dc.contributor.authorIllian, Janine B.
dc.contributor.authorToms, Mike
dc.identifier.citationJones-Todd , C M , Swallow , B , Illian , J B & Toms , M 2018 , ' A spatiotemporal multispecies model of a semicontinuous response ' , Journal of the Royal Statistical Society: Series C (Applied Statistics) , vol. 67 , no. 3 , pp. 705-722 .
dc.identifier.otherPURE: 251006310
dc.identifier.otherPURE UUID: 599b4629-5a98-4782-971b-487c4718b453
dc.identifier.otherBibtex: urn:ec1178105a597a387a9b310e4cc94346
dc.identifier.otherBibtex: urn:ec1178105a597a387a9b310e4cc94346
dc.identifier.otherScopus: 85031301052
dc.identifier.otherWOS: 000425638000009
dc.identifier.otherORCID: /0000-0002-0227-2160/work/118411948
dc.descriptionBS was part funded by Engineering and Physical Sciences Research Council–Natural Environment Research Council grant EP/10009171/1.en
dc.description.abstractAs accessible and potentially vulnerable species high up in the food chain, birds are often used as indicator species to highlight changes in ecosystems. This study focuses on multiple spatially dependent relationships between a raptor (sparrowhawk), a potential prey species (house sparrow) and a sympatric species (collared doves) in space and time. We construct a complex spatiotemporal latent Gaussian model to incorporate both predator–prey and sympatric relationships, which is novel in two ways. First, different types of species interactions are represented by a shared spatiotemporal random effect, which extends existing approaches to multivariate spatial modelling through the use of a joint latent modelling approach. Second, we use a delta–gamma model to capture the semicontinuous nature of the data to model the binary and continuous sections of the response jointly. The results indicate that sparrowhawks have a localized effect on the presence of house sparrows, which could indicate that house sparrows avoid sites where sparrowhawks are present.
dc.relation.ispartofJournal of the Royal Statistical Society: Series C (Applied Statistics)en
dc.rightsCopyright © 2017, Royal Statistical Society. This work is 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
dc.subjectIntegrated nested Laplace approximationen
dc.subjectJoint modelen
dc.subjectMultivariate spatiotemporal modellingen
dc.subjectStochastic partial differential equation approachen
dc.subjectQH301 Biologyen
dc.subjectQA Mathematicsen
dc.titleA spatiotemporal multispecies model of a semicontinuous responseen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.description.statusPeer revieweden

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