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Testing Modern Biostratigraphical Methods
Testing Modern Biostratigraphical Methods
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Carina Klein examines the quality of the existing modern ammonoid zonation based on three methods, being Unitary Associations (UA), Constrained Optimization (CONOP) as well as Ranking and Scaling (RASC). The author sets out which of these three methods is best suitable to refine these zones. The results obtained are compared to each other with regard to ammonoid succession and resolution as well as with empirical data from selected reference sections. The analysis reveals that the UA and RASC m…
  • Leidėjas:
  • Metai: 2016
  • Puslapiai: 98
  • ISBN-10: 365815344X
  • ISBN-13: 9783658153441
  • Formatas: 14.8 x 21 x 0.6 cm, minkšti viršeliai
  • Kalba: Anglų

Testing Modern Biostratigraphical Methods (el. knyga) (skaityta knyga) | knygos.lt

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Carina Klein examines the quality of the existing modern ammonoid zonation based on three methods, being Unitary Associations (UA), Constrained Optimization (CONOP) as well as Ranking and Scaling (RASC). The author sets out which of these three methods is best suitable to refine these zones. The results obtained are compared to each other with regard to ammonoid succession and resolution as well as with empirical data from selected reference sections. The analysis reveals that the UA and RASC methods are the most suitable since the results best mirror the empirical data from the single outcrops.

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  • Autorius: Carina Klein
  • Leidėjas:
  • Metai: 2016
  • Puslapiai: 98
  • ISBN-10: 365815344X
  • ISBN-13: 9783658153441
  • Formatas: 14.8 x 21 x 0.6 cm, minkšti viršeliai
  • Kalba: Anglų

Carina Klein examines the quality of the existing modern ammonoid zonation based on three methods, being Unitary Associations (UA), Constrained Optimization (CONOP) as well as Ranking and Scaling (RASC). The author sets out which of these three methods is best suitable to refine these zones. The results obtained are compared to each other with regard to ammonoid succession and resolution as well as with empirical data from selected reference sections. The analysis reveals that the UA and RASC methods are the most suitable since the results best mirror the empirical data from the single outcrops.

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