An overview of statistical methods applied to CPR data - Archive ouverte HAL
Article Dans Une Revue Progress in Oceanography Année : 2003

An overview of statistical methods applied to CPR data

G Beaugrand
  • Fonction : Auteur
Ja Lindley
  • Fonction : Auteur

Résumé

Since the beginning of the Continuous Plankton Recorder (CPR) survey in 1931, information on the abundance of a large number of plankton species or taxa has been obtained on a monthly basis in the northern North Atlantic. The many different ecological issues in which the survey has been involved have led to the application of a range of statistical methods. In this paper, we review some of the methods applied to the CPR data by presenting new and up-to-date analyses. Special attention is devoted to multivariate analysis, which has been used extensively to extract information from the CPR database. Results obtained from recently applied geostatistical methods on CPR data are then considered. An example of a time series decomposition by the use of Eigenvector filtering is presented to illustrate time-series analysis. (C) 2003 Elsevier Ltd. All rights reserved.

Domaines

Océanographie

Dates et versions

hal-03482974 , version 1 (16-12-2021)

Identifiants

Citer

G Beaugrand, F Ibanez, Ja Lindley. An overview of statistical methods applied to CPR data. Progress in Oceanography, 2003, 58 (2-4), pp.235-262. ⟨10.1016/j.pocean.2003.08.006⟩. ⟨hal-03482974⟩
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