A multivariate statistical study with a factor analysis of recent planktonic foraminiferal distribution in the Coromandel Coast of India

A study of planktonic foraminiferal assemblages from 19 stations in the neritic and oceanic regions off the Coromandel Coast, Bay of Bengal has been made using a multivariate statistical method termed as factor analysis. On the basis of abundance, 17 foraminiferal species, species were clustered into 5 groups with row normalisation and varimax rotation for Q-mode factor analysis. The 19 stations were also grouped into 5 groups with only 2 groups statistically significant using column normalisation and varimax rotation for R-mode analysis. This assemblage grouping method is suitable because groups of species/stations can explain the maximum amount of variation in them in relation to prevailing environmental conditions in the area of study.

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Bibliographic Details
Main Authors: Jayalakshmy, K.V., Kameswara Rao, K.
Format: article biblioteca
Language:English
Published: 1991
Subjects:Biology, Foraminifera, multivariate analysis, geographical distribution, environmental conditions, zooplankton, plankton surveys, marine, Coromandel coast, India,
Online Access:http://hdl.handle.net/1834/31750
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spelling dig-aquadocs-1834-317502021-07-11T05:31:05Z A multivariate statistical study with a factor analysis of recent planktonic foraminiferal distribution in the Coromandel Coast of India Jayalakshmy, K.V. Kameswara Rao, K. Biology Foraminifera multivariate analysis geographical distribution environmental conditions zooplankton plankton surveys marine Coromandel coast India A study of planktonic foraminiferal assemblages from 19 stations in the neritic and oceanic regions off the Coromandel Coast, Bay of Bengal has been made using a multivariate statistical method termed as factor analysis. On the basis of abundance, 17 foraminiferal species, species were clustered into 5 groups with row normalisation and varimax rotation for Q-mode factor analysis. The 19 stations were also grouped into 5 groups with only 2 groups statistically significant using column normalisation and varimax rotation for R-mode analysis. This assemblage grouping method is suitable because groups of species/stations can explain the maximum amount of variation in them in relation to prevailing environmental conditions in the area of study. 2021-06-24T17:13:06Z 2021-06-24T17:13:06Z 1991 article http://hdl.handle.net/1834/31750 en application/pdf application/pdf 39-43 http://aquaticcommons.org/id/eprint/15937 12051 2015-01-16 09:03:18 15937 Indian Fisheries Association
institution UNESCO
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-aquadocs
tag biblioteca
region Europa del Oeste
libraryname Repositorio AQUADOCS
language English
topic Biology
Foraminifera
multivariate analysis
geographical distribution
environmental conditions
zooplankton
plankton surveys
marine
Coromandel coast
India
Biology
Foraminifera
multivariate analysis
geographical distribution
environmental conditions
zooplankton
plankton surveys
marine
Coromandel coast
India
spellingShingle Biology
Foraminifera
multivariate analysis
geographical distribution
environmental conditions
zooplankton
plankton surveys
marine
Coromandel coast
India
Biology
Foraminifera
multivariate analysis
geographical distribution
environmental conditions
zooplankton
plankton surveys
marine
Coromandel coast
India
Jayalakshmy, K.V.
Kameswara Rao, K.
A multivariate statistical study with a factor analysis of recent planktonic foraminiferal distribution in the Coromandel Coast of India
description A study of planktonic foraminiferal assemblages from 19 stations in the neritic and oceanic regions off the Coromandel Coast, Bay of Bengal has been made using a multivariate statistical method termed as factor analysis. On the basis of abundance, 17 foraminiferal species, species were clustered into 5 groups with row normalisation and varimax rotation for Q-mode factor analysis. The 19 stations were also grouped into 5 groups with only 2 groups statistically significant using column normalisation and varimax rotation for R-mode analysis. This assemblage grouping method is suitable because groups of species/stations can explain the maximum amount of variation in them in relation to prevailing environmental conditions in the area of study.
format article
topic_facet Biology
Foraminifera
multivariate analysis
geographical distribution
environmental conditions
zooplankton
plankton surveys
marine
Coromandel coast
India
author Jayalakshmy, K.V.
Kameswara Rao, K.
author_facet Jayalakshmy, K.V.
Kameswara Rao, K.
author_sort Jayalakshmy, K.V.
title A multivariate statistical study with a factor analysis of recent planktonic foraminiferal distribution in the Coromandel Coast of India
title_short A multivariate statistical study with a factor analysis of recent planktonic foraminiferal distribution in the Coromandel Coast of India
title_full A multivariate statistical study with a factor analysis of recent planktonic foraminiferal distribution in the Coromandel Coast of India
title_fullStr A multivariate statistical study with a factor analysis of recent planktonic foraminiferal distribution in the Coromandel Coast of India
title_full_unstemmed A multivariate statistical study with a factor analysis of recent planktonic foraminiferal distribution in the Coromandel Coast of India
title_sort multivariate statistical study with a factor analysis of recent planktonic foraminiferal distribution in the coromandel coast of india
publishDate 1991
url http://hdl.handle.net/1834/31750
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AT kameswararaok amultivariatestatisticalstudywithafactoranalysisofrecentplanktonicforaminiferaldistributioninthecoromandelcoastofindia
AT jayalakshmykv multivariatestatisticalstudywithafactoranalysisofrecentplanktonicforaminiferaldistributioninthecoromandelcoastofindia
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