South China Sea Institute of Cheanology. Academia Sinica. Guangzhou 510301
Received Date: 1995-02-10
Publish Date:
1996-12-31
Abstract
Grain-size distributions of sediments contain important information on sedimentary source, dynamics and environment. The correct use of statistical techniques to extract as much as possible useful signals from grain-size data is of crucial significance. When applying multivariate analysis to grain-size data, however, the auther encountered the problem of "closure",which may mask true patterns significantly. The logratio statistics is an effective way to avoid this problem. This paper presents two case studies respectively in the western Baltic Sea and northern South China Sea. While the classical statistics failed in representing the natural clustering of sediment samples, the RQ-mode principal components analysis based on logratio transforms of grain-size data made a clear separation among sediment classes. The sedimentary regionalization based on this classification successfully reflects the spacial variation of sedimetary hydredynamic environments in these areas.
5.Aitchison J. The statistical analysis of compositional data. Chapman and Hall. London. 1986. 416.
6.Mclaren P and I3owles D. The eppects of sediment transportation on grain-size distributions. J. 5ed. Petrol.，1985.55 (4):457-470.
7.Zhou Di. W I emke. F Tauber and J Harff. Pattern and dynanics of modern sedimentation in IYarss sill area. western Baltic Sea, as reflected by grain一size data. unpubl. tnanus. 1994.
Abstract: Grain-size distributions of sediments contain important information on sedimentary source, dynamics and environment. The correct use of statistical techniques to extract as much as possible useful signals from grain-size data is of crucial significance. When applying multivariate analysis to grain-size data, however, the auther encountered the problem of "closure",which may mask true patterns significantly. The logratio statistics is an effective way to avoid this problem. This paper presents two case studies respectively in the western Baltic Sea and northern South China Sea. While the classical statistics failed in representing the natural clustering of sediment samples, the RQ-mode principal components analysis based on logratio transforms of grain-size data made a clear separation among sediment classes. The sedimentary regionalization based on this classification successfully reflects the spacial variation of sedimetary hydredynamic environments in these areas.
Zhou Di. Logratio Statistics and the Extraction of Environmental,Signals from Grain-Size Data[J]. Acta Sedimentologica Sinica, 1996, 14(S1): 149-157.
Citation:
Zhou Di. Logratio Statistics and the Extraction of Environmental,Signals from Grain-Size Data[J]. Acta Sedimentologica Sinica, 1996, 14(S1): 149-157.
5.Aitchison J. The statistical analysis of compositional data. Chapman and Hall. London. 1986. 416.
6.Mclaren P and I3owles D. The eppects of sediment transportation on grain-size distributions. J. 5ed. Petrol.，1985.55 (4):457-470.
7.Zhou Di. W I emke. F Tauber and J Harff. Pattern and dynanics of modern sedimentation in IYarss sill area. western Baltic Sea, as reflected by grain一size data. unpubl. tnanus. 1994.
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Zhou Di. Logratio Statistics and the Extraction of Environmental,Signals from Grain-Size Data[J]. Acta Sedimentologica Sinica, 1996, 14(S1): 149-157.
Zhou Di. Logratio Statistics and the Extraction of Environmental,Signals from Grain-Size Data[J]. Acta Sedimentologica Sinica, 1996, 14(S1): 149-157.
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