Multivariate data analysis
IR@NIO: CSIR-National Institute Of Oceanography, Goa
View Archive Info| Field | Value | |
| Creator |
Fernandes, A.A.
Antony, M.K. Somayajulu, Y.K. Sarma, Y.V.B. Almeida, A.M. Mahadevan, R. |
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| Date |
2006-05-04T11:51:13Z
2006-05-04T11:51:13Z 2005 |
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| Identifier |
NIO Technical Report; 199 pp.
http://drs.nio.org/drs/handle/2264/90 |
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| Description |
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.
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| Format |
180532 bytes
951042 bytes 1092697 bytes 73365 bytes 120390 bytes application/pdf application/pdf application/pdf application/pdf application/pdf |
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| Language |
en
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| Publisher |
National Institute of Oceanography, Goa
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| Relation |
NIO/TR-10/2005
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| Subject |
meteorology
TOPEX Poseidon anomaly data Empirical Orthogonal Function Varimax Rotation |
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| Title |
Multivariate data analysis
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| Type |
Technical Report
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