An overview of statistical methods applied to CPR data
70th Symposium of the CPR Survey, EDINBURGH, SCOTLAND, AUG 07, 2001 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 d...
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ftsorbonneuniv:oai:HAL:hal-03482974v1 2023-06-11T04:14:41+02:00 An overview of statistical methods applied to CPR data Beaugrand, G Ibanez, F Lindley, Ja Laboratoire d'océanographie de Villefranche (LOV) Observatoire océanologique de Villefranche-sur-mer (OOVM) Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) 2003 https://hal.science/hal-03482974 https://doi.org/10.1016/j.pocean.2003.08.006 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.pocean.2003.08.006 hal-03482974 https://hal.science/hal-03482974 doi:10.1016/j.pocean.2003.08.006 ISSN: 0079-6611 Progress in Oceanography https://hal.science/hal-03482974 Progress in Oceanography, 2003, 58 (2-4), pp.235-262. ⟨10.1016/j.pocean.2003.08.006⟩ [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography info:eu-repo/semantics/article Journal articles 2003 ftsorbonneuniv https://doi.org/10.1016/j.pocean.2003.08.006 2023-05-29T19:07:10Z 70th Symposium of the CPR Survey, EDINBURGH, SCOTLAND, AUG 07, 2001 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. Article in Journal/Newspaper North Atlantic HAL Sorbonne Université Progress in Oceanography 58 2-4 235 262 |
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Open Polar |
collection |
HAL Sorbonne Université |
op_collection_id |
ftsorbonneuniv |
language |
English |
topic |
[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography |
spellingShingle |
[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography Beaugrand, G Ibanez, F Lindley, Ja An overview of statistical methods applied to CPR data |
topic_facet |
[SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography |
description |
70th Symposium of the CPR Survey, EDINBURGH, SCOTLAND, AUG 07, 2001 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. |
author2 |
Laboratoire d'océanographie de Villefranche (LOV) Observatoire océanologique de Villefranche-sur-mer (OOVM) Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Beaugrand, G Ibanez, F Lindley, Ja |
author_facet |
Beaugrand, G Ibanez, F Lindley, Ja |
author_sort |
Beaugrand, G |
title |
An overview of statistical methods applied to CPR data |
title_short |
An overview of statistical methods applied to CPR data |
title_full |
An overview of statistical methods applied to CPR data |
title_fullStr |
An overview of statistical methods applied to CPR data |
title_full_unstemmed |
An overview of statistical methods applied to CPR data |
title_sort |
overview of statistical methods applied to cpr data |
publisher |
HAL CCSD |
publishDate |
2003 |
url |
https://hal.science/hal-03482974 https://doi.org/10.1016/j.pocean.2003.08.006 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
ISSN: 0079-6611 Progress in Oceanography https://hal.science/hal-03482974 Progress in Oceanography, 2003, 58 (2-4), pp.235-262. ⟨10.1016/j.pocean.2003.08.006⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.pocean.2003.08.006 hal-03482974 https://hal.science/hal-03482974 doi:10.1016/j.pocean.2003.08.006 |
op_doi |
https://doi.org/10.1016/j.pocean.2003.08.006 |
container_title |
Progress in Oceanography |
container_volume |
58 |
container_issue |
2-4 |
container_start_page |
235 |
op_container_end_page |
262 |
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1768392869459001344 |