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dc.contributor.authorJupp, Peter Edmund
dc.contributor.authorGoudie, Ian Britton James
dc.contributor.authorBatchelor, Richard Alessandro
dc.contributor.authorGoudie, Robert
dc.date.accessioned2022-04-18T09:31:00Z
dc.date.available2022-04-18T09:31:00Z
dc.date.issued2022-06-15
dc.identifier277787387
dc.identifierbd89c485-5c48-4791-8999-4a91771fdf08
dc.identifier000782911000001
dc.identifier85128267516
dc.identifier.citationJupp , P E , Goudie , I B J , Batchelor , R A & Goudie , R 2022 , ' Assessing seismic origin of geological features by fitting equidistant parallel lines ' , Journal of the Royal Statistical Society: Series C (Applied Statistics) , vol. 71 , no. 3 , pp. 723-738 . https://doi.org/10.1111/rssc.12553en
dc.identifier.issn1467-9876
dc.identifier.otherORCID: /0000-0003-0973-8434/work/111971398
dc.identifier.otherORCID: /0000-0002-3910-7310/work/111971611
dc.identifier.urihttps://hdl.handle.net/10023/25200
dc.descriptionFunding: Robert J. B. Goudie was funded by the UKRI Medical Research Council (MRC) [programme code MC_UU_00002/2] and supported by the NIHR Cambridge Biomedical Research Centre.en
dc.description.abstractSome planes in sedimentary rocks contain features that appear to lie near equally-spaced parallel lines. Determining whether or not they do so can provide information on possible mechanisms for their formation. The problem is recast here in terms of circular statistics, enabling closeness of candidate sets of lines to the points to be measured by a mean resultant length. This leads to a test of goodness of fit and to estimates of the direction of the lines and of the spacing between them. Two contrasting data sets are analysed.
dc.format.extent16
dc.format.extent1251228
dc.language.isoeng
dc.relation.ispartofJournal of the Royal Statistical Society: Series C (Applied Statistics)en
dc.subjectDirectional statisticsen
dc.subjectQuantal modelen
dc.subjectQA Mathematicsen
dc.subjectQE Geologyen
dc.subjectT-NDASen
dc.subject.lccQAen
dc.subject.lccQEen
dc.titleAssessing seismic origin of geological features by fitting equidistant parallel linesen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Statisticsen
dc.contributor.institutionUniversity of St Andrews. School of Earth & Environmental Sciencesen
dc.identifier.doi10.1111/rssc.12553
dc.description.statusPeer revieweden


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