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- W52171285 abstract "The chapter describes the main methods used for interpreting ecological structures. The latter generally result from clustering or ordination. The chapter includes discussion of the following topics: identification of structure using clustering and ordination together, the mathematics of ecological interpretation (direct comparison, indirect comparison, consensus statistics, explaining ecological structures, forecasting ecological structures, forecasting model, ecological prediction, and predictive model), regression (simple model I linear regression, least squares, simple model II linear regression, major axis regression, standard major axis regression, ranged major axis regression, orthogonal distance regression, multiple linear regression, collinearity, variance inflation factors, regression on principal components, ridge regression, adjusted coefficient of multiple determination, Akaike Information Criterion, dummy variable regression, polynomial regression, partial linear regression, variation partitioning, nonlinear regression, monotone regression, logistic regression, splines, and LOWESS smoothing), path analysis (structural equation modeling, path diagram, path coefficient), matrix comparisons (Mantel test, partial Mantel test, regression on distance matrices, ANOSIM test, Procrustes test), and fourth-corner problem (comparing two qualitative variables, test of statistical significance, permutational models, supplementary variables). Numerical methods are illustrated with real ecological applications, drawn from the literature. The chapter ends on a description of relevant software implemented in the R language." @default.
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- W52171285 date "2012-01-01" @default.
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- W52171285 title "Interpretation of ecological structures" @default.
- W52171285 doi "https://doi.org/10.1016/b978-0-444-53868-0.50010-1" @default.
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