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  • Articles  (2)
  • paleoecology  (2)
  • 2010-2014
  • 1990-1994
  • 1980-1984
  • 1970-1974  (2)
  • 1925-1929
  • 1974  (2)
  • Geosciences  (2)
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  • Articles  (2)
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  • 2010-2014
  • 1990-1994
  • 1980-1984
  • 1970-1974  (2)
  • 1925-1929
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  • 1
    Electronic Resource
    Electronic Resource
    Foraminiferal associations of the Mid-Tertiary Edegem Sands at Terhagen, Belgium (1974)
    Springer
    Mathematical geology 6 (1974), S. 1-15 
    Details
    ISSN: 1573-8868
    Keywords: factor analysis ; paleoecology ; paleontology
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract A factor-analytic approach (varimax rotated factors) was used in studying the benthonic foraminiferal associations of the Mid-Tertiary Edegem Sands at Terhagen (near Antwerpen) Belgium. The fauna can be described by two groups. The lower and upper part of the stratigraphic section are characterized by one group and the middle transitional part by a second group. The results can be correlated with the number of the planktonic forms and with the fossil richness of the sediment.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02111923
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    A multivariate analytical strategy for classifying paleoenvironments (1974)
    Springer
    Mathematical geology 6 (1974), S. 333-352 
    Details
    ISSN: 1573-8868
    Keywords: classification ; cluster analysis ; discriminant analysis ; multivariate analysis ; ordination ; numerical taxonomy ; paleoecology ; sedimentology
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Mathematics
    Notes: Abstract A multivariate analytical strategy is proposed for aiding the investigator in extracting maximum information from environmental data. Data are carefully coded and scaled and are tested for redundancy using R-mode cluster analysis. The samples are partitioned into environmental classes using Q-mode cluster analysis. Q-mode ordination facilitates interpretations, which usually can be verified by comparison with field relationships. Discriminant analysis serves as an identification procedure for extending the classification to unknown samples. The strategy is demonstrated by application to Cape Hatteras microorganism distributions and Devonian sedimentary facies.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF02082355
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    Paper (German National Licenses)
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