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dc.contributor.author Michael J. en_US
dc.contributor.author Neil F. en_US
dc.date.accessioned 2009-05-19T07:50:22Z
dc.date.available 2009-05-19T07:50:22Z
dc.date.issued 1999-03 en_US
dc.identifier http://dx.doi.org/10.1002/(SICI)1099-1417(199903)14:2<125::AID-JQS426>3.0.CO;2-0 en_US
dc.identifier.citation Hambrey , M J & Glasser , N F 1999 , ' Glacigenic clast fabrics: genetic fingerprint or wishful thinking? ' Journal of Quaternary Science , vol 14 , no. 2 , pp. 125-135 . , 10.1002/(SICI)1099-1417(199903)14:2<125::AID-JQS426>3.0.CO;2-0 en_US
dc.identifier.other PURE: 100662 en_US
dc.identifier.other dspace: 2160/2240 en_US
dc.identifier.uri http://hdl.handle.net/2160/2240
dc.description.abstract The interpretation of glacigenic diamictons is a subjective process, for which quantitative support is frequently sought from parameters such as clast shape and fabric. It has been widely suggested that different glacigenic diamicton facies possess distinct clast-fabric signatures. This paper examines this concept using a data set of 111 clast fabrics, and a synthesis of published results. Eigenvalues are calculated and compared for a variety sedimentary facies. It is concluded that clast fabric alone is not able to discriminate between different glacigenic facies, and it is argued that clast fabric offers little quantitative support in the interpretation of glacigenic sediments. It is suggested, therefore, that although clast fabric may continue to have a role as an indicator of relative strain at specific sites, its use in the discrimination of glacigenic facies is limited. Consequently, we should be much more selective in undertaking such analyses in the future. en_US
dc.format.extent 11 en_US
dc.relation.ispartof Journal of Quaternary Science en_US
dc.subject clast fabrics en_US
dc.subject glacigenic diamictons en_US
dc.subject eigenvalues en_US
dc.title Glacigenic clast fabrics: genetic fingerprint or wishful thinking? en_US
dc.contributor.pbl Institute of Geography & Earth Sciences en_US
dc.contributor.pbl Centre for Glaciology en_US


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