Statistical Ecology: A Primer in Methods and Computing
John Wiley & Sons, 18 de mai. de 1988 - 337 páginas
An accessible introduction to quantitative methods in community ecology, with related software. Provides a thoughtful overview on the nature of data collection, followed by detailed explanations of the major statistical techniques applied to problems in population dynamics. Presents important conclusions about the use (and abuse) of specific techniques. Examples include communities of both flora and fauna, prey-predator relations, the effects of food supply on populations, and species abundance and overlap models. Software includes several BASIC microcomputer programs which can be used with the examples provided or with other data sets.
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Principal Components Analysis
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axes axis block size calculations centroid Chapter chi-square chord distance classification clumped cluster community data community ecology computed coordinates correspondence analysis covariation data matrix data set dissimilarity diversity indices ecological data matrix ecologist eigenanalysis eigenvalues eigenvectors endpoint environmental factors estimate Euclidean distance example frequency distribution Gauch given in Table Goodall gradient groups illustrated index of dispersion interpretation large number linear regression lognormal distribution measure negative binomial NMDS nonlinear null hypothesis number of individuals number of species obtained octave ordination methods Orloci pairs pairwise Panamanian cockroach parameter PC(I Pielou Poisson polar ordination PQV method presence—absence principal components analysis procedure Q-mode quadrats random ratio recommend relative sampling units Section selection significant similar Sokal space spatial pattern species abundance species associations specific overlap sTEP strategy student test statistic total number TTLQV underlying upland forest variables variance vectors WISCONSIN FORESTS
Página 326 - Sokal, RR and FJ Rohlf, 1981, Biometry, 2nd ed. (Freeman, San Francisco, CA).