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Please use this identifier to cite or link to this item: http://drs.nio.org/drs/handle/2264/90

Title: Multivariate data analysis
Authors: Fernandes, A.A.
Antony, M.K.
Somayajulu, Y.K.
Sarma, Y.V.B.
Almeida, A.M.
Mahadevan, R.
Citation: NIO Technical Report; 199 pp.
Series/Report no.: NIO/TR-10/2005
Issue Date: 2005
Publisher: National Institute of Oceanography, Goa
Abstract: This report describes some of the multivariate data analysis techniques used in meteorology and oceanography and provides the necessary background and software to undertake appropriate analyses of a given data set. The multivariate data analysis techniques discussed are for the identification of simple patterns within a data set and between data sets, and for studying the characteristics of moving patterns in space-time data sets. Among the data analysis techniques discussed are Empirical Orthogonal Function (EOF) Analysis, Complex EOF Analysis, and Canonical Correlation Analysis, which are useful in the description and prediction of climate. Results of EOF and Complex EOF analysis of TOPEX/Poseidon derived sea level height anomaly data in the Indian and Pacific Oceans at inter-annual time scales are presented. Results of Canonical Correlation Analysis of a sample data set is also presented.
Document type: Technical Report
URI: http://drs.nio.org/drs/handle/2264/90
Appears in Collections:Interdisciplinary Oceanography

Files in This Item:

File Description SizeFormat
TOC and Chap1&2.pdfIntroduction multivariate data117.57 kBAdobe PDFView/Open
Chap3&4.pdfMoving patterns & Relationships71.65 kBAdobe PDFView/Open
Chap5.pdfExamples of Horel1.07 MBAdobe PDFView/Open
Chap6.pdfTOPEX/Poseidon928.75 kBAdobe PDFView/Open
Chap7 & References.pdfSummary & References176.3 kBAdobe PDFView/Open

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