Introduction to uses and interpretation of principal component analyses in forest biology.

J. G. Isebrands; Tom Crow

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Introduction to uses and interpretation of principal component analyses in forest biology.

Informally Refereed

Authors:

J. G. Isebrands, Tom Crow

Year:

1975

Type:

General Technical Report

Station:

Northern Research Station

Source:

General Technical Report NC-17. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station

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Download (PDF 4.50 MB): https://research.fs.usda.gov/download/treesearch/10082.pdf

Abstract

The application of principal component analysis for interpretation of multivariate data sets is reviewed with emphasis on (1) reduction of the number of variables, (2) ordination of variables, and (3) applications in conjunction with multiple regression.

Keywords

multivariate analysis, eigenvector, principal component, ordination, orthogonal regression

Citation

Isebrands, J. G.; Crow, Thomas R. 1975. Introduction to uses and interpretation of principal component analyses in forest biology. General Technical Report NC-17. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station