Non-linear principal components analysis : an alternative method for finding patterns in environmental data


Autoria(s): Ellis, R. N.; Kroonenberg, P. M.; Harch, B.D.; Basford, K. E.
Data(s)

01/02/2006

Resumo

The main purpose of this article is to gain an insight into the relationships between variables describing the environmental conditions of the Far Northern section of the Great Barrier Reef, Australia. Several of the variables describing these conditions had different measurement levels and often they had non-linear relationships. Using non-linear principal component analysis, it was possible to acquire an insight into these relationships. Furthermore, three geographical areas with unique environmental characteristics could be identified.

Identificador

http://eprints.qut.edu.au/72786/

Publicador

John Wiley & Sons Ltd.

Relação

http://onlinelibrary.wiley.com/doi/10.1002/env.738/epdf

DOI:10.1002/env.738

Ellis, R. N., Kroonenberg, P. M., Harch, B.D., & Basford, K. E. (2006) Non-linear principal components analysis : an alternative method for finding patterns in environmental data. Environmetrics, 17(1), pp. 1-11.

Direitos

Copyright 2005 John Wiley & Sons, Ltd.

Fonte

Science & Engineering Faculty

Palavras-Chave #CatPCA #Measurement #Multivariate analysis #Nonlinear PCA #Quantification #Transformation #principal component analysis
Tipo

Journal Article