European Ocean Biodiversity Information System
[ report an error in this record ]basket (0): add | show Print this page
An overview of statistical methods applied to CPR data
Beaugrand, G.; Ibañez, F.; Lindley, J.A. (2003). An overview of statistical methods applied to CPR data. Prog. Oceanogr. 58(2-4): 235-262. https://dx.doi.org/10.1016/j.pocean.2003.08.006
In: Progress in Oceanography. Pergamon: Oxford,New York,. ISSN 0079-6611; e-ISSN 1873-4472
Also appears in:
Reid, P.C.; Matthews, J.B.L.; Smith, M.A. (Ed.) (2003). Achievements of the Continuous Plankton Recorder Survey and a vision for its future. Progress in Oceanography, 58(2-4). Elsevier: Amsterdam. 115-358 pp., more
Peer reviewed article  
Available in  Authors 
    Vlaams Instituut voor de Zee: Non-open access 54276 [ request ]
Keyword
    Marine/Coastal
Authors  Top 
  • Beaugrand, G.
  • Ibañez, F.
  • Lindley, J.A.
Abstract
    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.
All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors