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dc.contributor.authorBailey, Ida Elizabeth
dc.contributor.authorBackes, André
dc.contributor.authorWalsh, Patrick Thomas
dc.contributor.authorMorgan, Kate
dc.contributor.authorMeddle, Simone L
dc.contributor.authorHealy, Susan Denise
dc.identifier.citationBailey , I E , Backes , A , Walsh , P T , Morgan , K , Meddle , S L & Healy , S D 2015 , ' Image analysis of weaverbird nests reveals signature weave textures ' , Royal Society Open Science , vol. 2 , 150074 .
dc.identifier.otherPURE: 207145275
dc.identifier.otherPURE UUID: a5538dfa-ca2a-4e33-9fbe-ffca0ada08db
dc.identifier.otherScopus: 84958073812
dc.identifier.otherORCID: /0000-0002-8059-4480/work/60631284
dc.identifier.otherWOS: 000377965800020
dc.descriptionThis work was supported by the BBSRC (BB/I019502/1, S.D.H. and S.L.M.), the Roslin Institute Strategic Grant funding from the BBSRC (S.L.M) and the Leverhulme Trust (S.D.H. and P.T.W.), and A.R.B. gratefully acknowledges the financial support of CNPq (National Council for Scientific and Technological Development, Brazil, grant no. 301558/2012-4).en
dc.description.abstractIn nature, many animals build structures that can be readily measured at the scale of their gross morphology (e.g. length, volume and weight). Capturing individuality as can be done with the structures designed and built by human architects or artists, however, is more challenging. Here, we tested whether computer-aided image texture classification approaches can be used to describe textural variation in the nests of weaverbirds (Ploceus species) in order to attribute nests to the individual weaverbird that built them. We found that a computer-aided texture analysis approach does allow the assignment of a signature to weaverbirds’ nests. We suggest that this approach will be a useful tool with which to examine individual variation across a range of animal constructions, not just for nests.
dc.relation.ispartofRoyal Society Open Scienceen
dc.rightsCopyright 2015 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License, which permits unrestricted use, provided the original author and source are credited.en
dc.subjectTexture analysisen
dc.subjectNest buildingen
dc.subjectBiological structuresen
dc.subjectIndividual differencesen
dc.subjectQH301 Biologyen
dc.titleImage analysis of weaverbird nests reveals signature weave texturesen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews. Centre for Social Learning & Cognitive Evolutionen
dc.contributor.institutionUniversity of St Andrews. Centre for Biological Diversityen
dc.description.statusPeer revieweden

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