COMPLEX PRINCIPAL COMPONENT ANALYSIS OF SEASONAL VARIATION IN NEARSHORE BATHYMETRY

Guoxiong Liang; Thomas E. White; Richard J. Seymour

doi:10.9753/icce.v23.%p

Núm. 23 (1992), Conference Proceedings

Núm. 23 (1992)

COMPLEX PRINCIPAL COMPONENT ANALYSIS OF SEASONAL VARIATION IN NEARSHORE BATHYMETRY

Conference Proceedings

Publicado 1992-01-29

Guoxiong Liang⁺⁻
Thomas E. White⁺⁻
Richard J. Seymour⁺⁻

Guoxiong Liang

Scripps Institution of Oceanography, University of California

Thomas E. White

USAE Waterways Experiment Station, Coastal Engineering Research Center, 3909 Halls Ferry Road, Vicksburg

Richard J. Seymour

Scripps Institution of Oceanography, University of California

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nearshore bathymetry
bathymetry variation

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COMPLEX PRINCIPAL COMPONENT ANALYSIS OF SEASONAL VARIATION IN NEARSHORE BATHYMETRY. (1992). Coastal Engineering Proceedings, 1(23). https://doi.org/10.9753/icce.v23.%p

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Both the conventional Principal Component Analysis (PCA) and the Complex Principal Component Analysis (CPCA) were applied to analyze six nearshore profiles in Siuslaw, Oregon. Results indicated that the first two components derived from CPCA always outperformed those derived from PCA. This suggests that CPCA is a better method of describing the seasonal variation in nearshore bathymetry. The relative performance of CPCA on different profiles depended upon the coherence of the variation within those profiles. Furthermore, the concept of an absolute amount of variance was used in explaining the spatial variation of the predictability of principal components.

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COMPLEX PRINCIPAL COMPONENT ANALYSIS OF SEASONAL VARIATION IN NEARSHORE BATHYMETRY

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