USGS OFR 2010-1146: Coastal Vulnerability Assessment of the Northern Gulf of Mexico to Seal-Level Rise and Coastal Change, Appendix: Updated CVI

U.S. Geological Survey Open-File Report 2010-1146

Coastal Vulnerability Assessment of the Northern Gulf of Mexico to Sea-Level Rise and Coastal Change

Title Page / Contents / List of Figures and Tables / Conversion Factors and Datum / Abstract / Introduction / Northern Gulf of Mexico / Methods / Geologic Variables / Physcial Process Variables / Results / Discussion / Conclusions / Acknowledgments / References Cited / Appendix

Updated CVI: calculated using geomorphology, shoreline change rate (Miller and others, 2004; Martinez and others, 2006) and land loss (Barras and others, 2008), coastal slope, vertical movement rate (Ivins and others, 2007), mean significant wave height, and tidal range.

This table contains the principal component analysis summary for Northern Gulf of Mexico CVI, including eigenvalues and percent of variance explained.

Principal Component	Eigenvalue	Variance Explained (percent)	Total Variance (Cumulative percent)
1	20.49	46.07	46.07
2	12.65	28.43	74.5
3	10.47	23.53	98.03
4	0.56	1.25	99.28
5	0.31	0.72	100.0
6	Approximately 0	Approximately 0	100.0

A.) The first four principal components (1-4) cumulatively account for more than 99 percent of the variance within the CVI. B.) Biplot of principal components 1 and 2. Note the short vectors corresponding to tidal range, geomorphology, slope, and sea-level rise rate. This plot suggests that only shoreline change and wave height are significant in the first 2 principal components (78.5 percent of the total variance).

Bar and line plots for the first four principal components.

Bar plots of loadings within each principal component (PC) 1-6; percent of variance explained by each component is shown in the plot title with each principal component.

Bar plots for principle components.

Spatial distribution of the first four principal components, showing where the maximum score (or loading) occurs. This map indicates where each principal component is most influential in determining the CVI.

Map of the first four principal components.

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