Multivariate statistics for wildlife and ecology research

By J. Bogaert. 2001

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Spectral analysis and classification accuracy of coffee crops using Landsat and a topographic‐environmental model (2007, methodology): “2.10 Forward stepwise discriminant analysis Following the supervised training area selection, a stepwise discriminant analysis was performed to define which bands or variables provided the highest discrimination and which were weak or redundant variables (McGarigal et al. 2000).”
Functional homogenization of bird communities along habitat gradients: accounting for niche multidimensionality (2010, methodology): “…of the resulting principal components, we applied a Varimax normalized rotation, an orthogonal rotation technique that minimizes the number of original variables related to each PC, ensuring that few variables have large factor loadings and many have small ones (near zero) (McGarigal et al., 2000).”