Numerical Ecology, Volume 3Complex ecological data sets. Matrix algebra: a summary. Dimensional analysis in ecology. Multidimensional qualitative data. Multidimensional quantitative data. Measures of ecological resemblance. Cluster analysis. Ordination in reduced space. Structure analysis. Ecological series. Markov process and Leslie matrix. |
Contents
a summary | 1-15 |
X | 1-16 |
Some properties of eigenvalues and eigenvectors | 48 |
Copyright | |
7 other sections not shown
Common terms and phrases
algebra association matrix autocovariance average axis binary biological calculation canonical centroid chapter clustering methods coefficient columns computed contingency table correspondence analysis covariance data matrix defined degrees of freedom density dependence described descriptor-axes determinant diagonal dimensional analysis dimensionless products dimensions dispersion matrix diversity Ecological application ecological data ecologist eigenvalues eigenvectors elements entropy equal equation Euclidean distance example Figure frequency function groups interpretation inverse Legendre length Leslie matrix linear mathematical maximum measure multidimensional multinormal multiple normal distribution number of species objects observed ordination orthogonal pairs partial correlation partition Pearson's periodogram phytoplankton population possible principal axes principal component analysis principal coordinates probability problem quantitative descriptors random rank reduced space regression relationships samples scalar scale semimetric similarity matrix Sokal species abundances square statistics symmetric matrix transformation variables variance variates vector y₁ zero