1991
DOI: 10.1111/j.1365-3091.1991.tb01012.x
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Environmental gradients in carbonate sediments and rocks detected by correspondence analysis: examples from the Recent of Norway and the Dinantian of southwest England

Abstract: Continuous sedimentary gradients are only crudely expressed by standard facies and microfacies methods which are more appropriate to situations where changes occur in relatively discrete steps. In carbonate sediments and rocks, continuous gradients are often represented by the arrangement of component grain types in a relay, that is, a systematic shifting of the relative importance of the components. Subdivision of such relays into (micro)facies can only be arbitrary. Correspondence analysis is shown to be use… Show more

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Cited by 52 publications
(53 citation statements)
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“…The closure effect of percentage data is reduced by the weighting procedure used. The computer programme for calculation was made available by A. Lees (see Hennebert & Lees, 1991).…”
Section: Sampling Method Heavy Mineral Preparation Analysis and Stamentioning
confidence: 99%
“…The closure effect of percentage data is reduced by the weighting procedure used. The computer programme for calculation was made available by A. Lees (see Hennebert & Lees, 1991).…”
Section: Sampling Method Heavy Mineral Preparation Analysis and Stamentioning
confidence: 99%
“…Each sample or component can also be assigned a Relay Index (RI), its coordinate value on the first CA axis rescaled such that the range of all samples or components lies between 0 and 100. Hennebert and Lees (1991) illustrated how CA may be used to detect and analyse relays in carbonate rocks.…”
Section: Correspondence Analysismentioning
confidence: 99%
“…Correspondence analysis (CA) is an eigenvector method which enables a large mutlivariate cloud of points (representing both samples and componenets stored in a two-way contingency table) to be projected into a reduced space defined by the CA axes (Hennebert and Lees 1991). Moreover, CA calculates the variation (as a percentage) represented by the each CA axis.…”
Section: Correspondence Analysismentioning
confidence: 99%
“…In order to detect environmentally important trends in foraminiferal assemblage data, we performed Correspondence Analysis, an eigenvector method which allows the projection of a large cloud of points (samples, parameters or both) into a reduced space (defined by the factor axes) while conserving the major part of the structured, meaningful information (Hennebert and Lees, 1991). Correspondence analysis (CA) is very illustrative as depicts species and samples at the same time.…”
Section: Micropalaeontological Analysismentioning
confidence: 99%