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dc.contributor.authorMiller, David L.
dc.contributor.authorRexstad, Eric
dc.contributor.authorThomas, Len
dc.contributor.authorMarshall, Laura
dc.contributor.authorLaake, Jeffrey L.
dc.date.accessioned2019-06-07T15:30:01Z
dc.date.available2019-06-07T15:30:01Z
dc.date.issued2019-05-09
dc.identifier.citationMiller , D L , Rexstad , E , Thomas , L , Marshall , L & Laake , J L 2019 , ' Distance sampling in R ' , Journal of Statistical Software , vol. 89 , no. 1 . https://doi.org/10.18637/jss.v089.i01en
dc.identifier.issn1548-7660
dc.identifier.otherPURE: 250727367
dc.identifier.otherPURE UUID: d2d46816-2304-400d-9ac6-8d06c7982666
dc.identifier.otherWOS: 000468776100001
dc.identifier.otherWOS: 000468776100001
dc.identifier.otherORCID: /0000-0002-7436-067X/work/58285426
dc.identifier.otherORCID: /0000-0002-4323-8161/work/58285427
dc.identifier.otherScopus: 85068356686
dc.identifier.urihttp://hdl.handle.net/10023/17847
dc.description.abstractEstimating the abundance and spatial distribution of animal and plant populations is essential for conservation and management. We introduce the R package Distance that implements distance sampling methods to estimate abundance. We describe how users can obtain estimates of abundance (and density) using the package as well as documenting the links it provides with other more specialized R packages. We also demonstrate how Distance provides a migration pathway from previous software, thereby allowing us to deliver cutting-edge methods to the users more quickly.
dc.format.extent28
dc.language.isoeng
dc.relation.ispartofJournal of Statistical Softwareen
dc.rightsCopyright 2019 the Authors. This work is licensed under the licenses Paper: Creative Commons Attribution 3.0 Unported Licenseen
dc.subjectDistance samplingen
dc.subjectAbundance estimationen
dc.subjectLine transecten
dc.subjectPoint transecten
dc.subjectDetection functionen
dc.subjectHorvitz-Thompsonen
dc.subjectRen
dc.subjectDistanceen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectQH301 Biologyen
dc.subjectDASen
dc.subject.lccQA75en
dc.subject.lccQH301en
dc.titleDistance sampling in Ren
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.contributor.institutionUniversity of St Andrews.Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews.Statisticsen
dc.contributor.institutionUniversity of St Andrews.Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews.School of Chemistryen
dc.identifier.doihttps://doi.org/10.18637/jss.v089.i01
dc.description.statusPeer revieweden


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