Advanced Search

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.

Logratio Statistics and the Extraction of Environmental,Signals from Grain-Size Data

  • Received Date: 1995-02-10
  • Publish Date: 1996-12-31
  • 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.
  • [1] 1.周蒂.成分数据的对数比统计方法简介.地质科技情报,1988. 7 (2): 107-114.

    2.周蒂.对应分析的局限性及RQ式因子分析.物化探计算技术,1985. 7 (4): 332-341.

    3.周蒂.罗又郎,陈汉宗.珠江口外现代沉积物粒度类型的对数比统计分析及沉积水动力环境的讨论.南海洋科学集刊(第]0集),1992. 52-62.

    4.薛万俊等.南海中北部晚第四纪古气候及古海洋学.南海地质研究(4). 1991. 1-96.

    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.
  • Created with Highcharts 5.0.7Amount of accessChart context menuAbstract Views, HTML Views, PDF Downloads StatisticsAbstract ViewsHTML ViewsPDF Downloads2024-052024-062024-072024-082024-092024-102024-112024-122025-012025-022025-032025-0400.511.522.5
    Created with Highcharts 5.0.7Chart context menuAccess Class DistributionFULLTEXT: 1.6 %FULLTEXT: 1.6 %META: 91.4 %META: 91.4 %PDF: 7.0 %PDF: 7.0 %FULLTEXTMETAPDF
    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 2.5 %其他: 2.5 %其他: 1.6 %其他: 1.6 %China: 1.2 %China: 1.2 %United States: 2.0 %United States: 2.0 %上海: 1.2 %上海: 1.2 %中卫: 0.8 %中卫: 0.8 %凉山: 0.4 %凉山: 0.4 %北京: 18.0 %北京: 18.0 %厦门: 0.4 %厦门: 0.4 %哥伦布: 0.4 %哥伦布: 0.4 %天津: 0.4 %天津: 0.4 %巴音郭楞: 0.4 %巴音郭楞: 0.4 %张家口: 1.2 %张家口: 1.2 %成都: 0.8 %成都: 0.8 %杭州: 0.4 %杭州: 0.4 %泰安: 0.4 %泰安: 0.4 %济南: 0.4 %济南: 0.4 %深圳: 0.4 %深圳: 0.4 %潍坊: 0.4 %潍坊: 0.4 %芒廷维尤: 15.2 %芒廷维尤: 15.2 %苏州: 0.8 %苏州: 0.8 %衡水: 1.2 %衡水: 1.2 %衢州: 0.8 %衢州: 0.8 %西宁: 44.7 %西宁: 44.7 %西安: 0.4 %西安: 0.4 %贵阳: 0.8 %贵阳: 0.8 %长沙: 0.8 %长沙: 0.8 %青岛: 0.8 %青岛: 0.8 %鞍山: 0.4 %鞍山: 0.4 %首尔: 0.4 %首尔: 0.4 %其他其他ChinaUnited States上海中卫凉山北京厦门哥伦布天津巴音郭楞张家口成都杭州泰安济南深圳潍坊芒廷维尤苏州衡水衢州西宁西安贵阳长沙青岛鞍山首尔
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(451) PDF downloads(377) Cited by()

Proportional views
Related
Publishing history
  • Received:  1995-02-10
  • Published:  1996-12-31

Logratio Statistics and the Extraction of Environmental,Signals from Grain-Size Data

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.
Reference (1)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return