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CR 20:271-279 (2002)
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Abstract
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Simplified EOFs--three alternatives to rotation
I. T. Jolliffe1,*, M. Uddin2, S. K. Vines3
1Department of Mathematical Sciences, University of Aberdeen, Meston Building, King's College, Aberdeen AB24 3UE, Scotland, United Kingdom
2Department of Statistics, University of Karachi, Karachi 75270, Pakistan
3Department of Statistics, Faculty of Mathematics and Computing, The Open University, Walton Hall, Milton Keynes MK7 6AA, United Kingdom
*E-mail: itj@maths.abdn.ac.uk
ABSTRACT: Principal component analysis (PCA) is widely used in atmospheric science, and the resulting empirical orthogonal functions (EOFs) are often rotated to aid interpretation. In this paper 3 methods are described which provide alternatives to the
standard 2-stage procedure of PCA followed by rotation. The techniques are illustrated on a small example involving sea-surface temperatures in the Mediterranean. Each method is shown to give different simplified interpretations for the major sources of
variation in the data set. All 3 techniques have advantages over standard rotation.
KEY WORDS: EOFs · Simplification · Interpretation · Rotation · LASSO · Mediterranean · SST
Full text in pdf format
Published in CR Vol.
20, No. 3
(2002) on April 26
Print ISSN: 0936-577X; Online ISSN: 1616-1572.
Copyright © Inter-Research, Oldendorf/Luhe, 2002
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