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Significance is assessed by permutation. Published Date: Page Count: View all volumes in this series: Developments in Environmental Modelling.

R code for ecological data analysis

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Chapter headings and selected parts: Complex Ecological Data Sets. Numerical analysis of ecological data. Statistical testing by permutation.

R code for ecological data analysis

Ecological descriptors. Matrix Algebra: A Summary. The ecological data matrix. Vectors and scaling. Eigenvalues and eigenvectors. Dimensional Analysis in Ecology. Fundamental principles and the Pi theorem. Scale factors and models. Multidimensional Quantitative Data. Multidimensional variables and dispersion matrix. Multinormal DCA BV MDS 2000. Tests of normality and multinormality. Multidimensional Semiquantitative data.

Numerical Ecology, Volume 24 - 2nd Edition

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