Core correlation

Roy Thompson; Robert Malcolm Clark; Geoffrey S Boulton

doi:10.1007/978-94-007-2745-8_13

Core correlation

Roy Thompson, Robert Malcolm Clark, Geoffrey S Boulton

School of Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review

20 Citations (Scopus)

Abstract

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.

Original language	English
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
Publisher	Springer
Pages	415 - 430
Number of pages	16
ISBN (Print)	9789400727441
DOIs	https://doi.org/10.1007/978-94-007-2745-8_13
Publication status	Published - 2012

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10.1007/978-94-007-2745-8_13

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abstract = "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.",

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Core correlation. / Thompson, Roy; Clark, Robert Malcolm; Boulton, Geoffrey S.

Tracking Environmental Change Using Lake Sediments, Volume 5: Data Handling and Numerical Techniques. ed. / H John B Birks; Andre F Lotter; Steve Juggins; John P Smol. London : Springer, 2012. p. 415 - 430.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review

TY - CHAP

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AU - Thompson, Roy

AU - Clark, Robert Malcolm

AU - Boulton, Geoffrey S

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

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DO - 10.1007/978-94-007-2745-8_13

M3 - Chapter (Book)

SN - 9789400727441

SP - 415

EP - 430

BT - Tracking Environmental Change Using Lake Sediments, Volume 5: Data Handling and Numerical Techniques

A2 - Birks, H John B

A2 - Lotter, Andre F

A2 - Juggins, Steve

A2 - Smol, John P

PB - Springer

CY - London

ER -

Core correlation

Abstract

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