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Analogue Methods in Palaeoecology: Using the analogue Package

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  • Simpson, Gavin L.

Abstract

Palaeoecology is an important branch of ecology that uses the subfossil remains of organisms preserved in lake, ocean and bog sediments to inform on changes in ecosystems and the environment through time. The analogue package contains functions to perform modern analogue technique (MAT) transfer functions, which can be used to predict past changes in the environment, such as climate or lake-water pH from species data. A related technique is that of analogue matching, which is concerned with identifying modern sites that are floristically and faunistically similar to fossil samples. These techniques, and others, are increasingly being used to inform public policy on environmental pollution and conservation practices. These methods and other functionality in analogue are illustrated using the Surface Waters Acidification Project diatom:pH training set and diatom counts on samples of a sediment core from the Round Loch of Glenhead, Galloway, Scotland. The paper is aimed at palaeoecologists who are familiar with the techniques described but not with R.

Suggested Citation

  • Simpson, Gavin L., 2007. "Analogue Methods in Palaeoecology: Using the analogue Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i02).
  • Handle: RePEc:jss:jstsof:v:022:i02
    DOI: http://hdl.handle.net/10.18637/jss.v022.i02
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    Cited by:

    1. Yvonne Milker & Manuel F G Weinkauf & Jürgen Titschack & Andre Freiwald & Stefan Krüger & Frans J Jorissen & Gerhard Schmiedl, 2017. "Testing the applicability of a benthic foraminiferal-based transfer function for the reconstruction of paleowater depth changes in Rhodes (Greece) during the early Pleistocene," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-30, November.
    2. repec:jss:jstsof:22:i01 is not listed on IDEAS
    3. Kneib, Thomas & Petzoldt, Thomas, 2007. "Introduction to the Special Volume on "Ecology and Ecological Modeling in R"," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 22(i01).
    4. Ralf Münnich & Siegfried Gabler & Christian Bruch & Jan Pablo Burgard & Tobias Enderle & Jan-Philipp Kolb & Thomas Zimmermann, 2015. "Tabellenauswertungen im Zensus unter Berücksichtigung fehlender Werte," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 9(3), pages 269-304, December.

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