The numerical procedure of sequence slotting aims to combine, in a mathematically optimal manner, two ordered sequences of stratigraphical data (eg. loss-on-ignition, percentages of different biological taxa) into a single sequence, while preserving the ordering within each sequence and satisfying any other relevant external constraint such as volcanis tephra layers. The procedure provides a convenient means of core correlation in palaeolimnology and is illustrated by two examples. The first involves univariate pollen data from a lake-sediment core being matched with isotopic ice-core data and its associated chronology. The second involves core correlation of two to four cores with a dated master core from eight mountain arctic lakes in Europe using dry weight and bulk organic matter (loss-on-ignition) data as the proxy variables to derive 3405 age estimates for the individual core samples.
|Title of host publication||Tracking Environmental Change Using Lake Sediments, Volume 5: Data Handling and Numerical Techniques|
|Editors||H John B Birks, Andre F Lotter, Steve Juggins, John P Smol|
|Place of Publication||London|
|Pages||415 - 430|
|Number of pages||16|
|Publication status||Published - 2012|
Thompson, R., Clark, R. M., & Boulton, G. S. (2012). Core correlation. In H. J. B. Birks, A. F. Lotter, S. Juggins, & J. P. Smol (Eds.), Tracking Environmental Change Using Lake Sediments, Volume 5: Data Handling and Numerical Techniques (pp. 415 - 430). Springer. https://doi.org/10.1007/978-94-007-2745-8_13