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8 - Geomathematics

Published online by Cambridge University Press:  05 June 2012

Felix M. Gradstein
Affiliation:
Universitetet i Oslo
James G. Ogg
Affiliation:
Purdue University, Indiana
Alan G. Smith
Affiliation:
University of Cambridge
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Summary

The inputs for the calculation of a numerical time scale are a set of radiometric dates with variable uncertainty in both time (in myr) and stratigraphic position (in biozones). For the Paleozoic and Mesozoic, these selected input dates are irregularly distributed with respect to a biostratigraphic scale derived from graphical correlation, constrained optimization, or successive biozonal units; and for the Cenozoic, the dates are correlated to relative seafloor distances of marine magnetic anomalies. Spline fitting combined with Ripley's Maximum Likelihood fitting of a Functional Relationship produces a linear time scale with error bars on the boundary ages and durations of geologic stages. These methods were applied to Ordovician—Silurian, Devonian, Carboniferous—Permian, the Permian—Triassic boundary, Late Cretaceous, and Paleogene date sets.

HISTORY AND OVERVIEW

Statistical estimation of chronostratigraphic boundary ages (with error bars)

The starting point for construction of numerical time scales, as described in this chapter, is a data set of ages, measured in millions of years, with 2-sigma error bars, for samples positioned along a relative stratigraphic scale of which the unit is approximately proportional to time (also measured in millions of years). Spline-curve fitting is used to relate the observed ages to their stratigraphic position. During this process the ages are weighted according to their variances based on the lengths of their error bars.

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Publisher: Cambridge University Press
Print publication year: 2005

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