Show simple item record

Files in this item

Thumbnail

Item metadata

dc.contributor.authorIllian, Janine Barbel
dc.contributor.authorBurslem, David
dc.date.accessioned2017-07-19T10:30:10Z
dc.date.available2017-07-19T10:30:10Z
dc.date.issued2017-10
dc.identifier250365908
dc.identifierc5fdefd8-9620-4797-ad0c-566d32a6a0c5
dc.identifier85023756692
dc.identifier000412949200008
dc.identifier.citationIllian , J B & Burslem , D 2017 , ' Improving the usability of spatial point processes methodology : an interdisciplinary dialogue between statistics and ecology ' , Advances in Statistical Analysis , vol. 101 , no. 4 , pp. 495-520 . https://doi.org/10.1007/s10182-017-0301-8en
dc.identifier.issn1863-8171
dc.identifier.urihttps://hdl.handle.net/10023/11253
dc.description.abstractThe last few decades have seen an increasing interest and strong development in spatial point process methodology, and associated software that facilitates model fitting has become available. A lot of this progress has made these approaches more accessible to users, through freely available software. However, in the ecological user community the methodology has only been slowly picked up despite its obvious relevance to the field. This paper reflects on this development, highlighting mutual benefits of interdisciplinary dialogue for both statistics and ecology. We detail the contribution point process methodology has made to research on biodiversity theory as a result of this dialogue and reflect on reasons for the slow take-up of the methodology. This primarily concerns the current lack of consideration of the usability of the approaches, which we discuss in detail, presenting current discussions as well as indicating future directions.
dc.format.extent737528
dc.language.isoeng
dc.relation.ispartofAdvances in Statistical Analysisen
dc.subjectGE Environmental Sciencesen
dc.subjectQA Mathematicsen
dc.subjectT-NDASen
dc.subject.lccGEen
dc.subject.lccQAen
dc.titleImproving the usability of spatial point processes methodology : an interdisciplinary dialogue between statistics and ecologyen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doi10.1007/s10182-017-0301-8
dc.description.statusPeer revieweden


This item appears in the following Collection(s)

Show simple item record