Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS: Volume 1:Prelude and Static Models by Marc Kery, J. Andrew Royle

Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS: Volume 1:Prelude and Static Models



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Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS: Volume 1:Prelude and Static Models Marc Kery, J. Andrew Royle ebook
Publisher: Elsevier Science
Page: 830
ISBN: 9780128013786
Format: pdf


It looks at the general linear model, or ANCOVA, in R and WinBUGS. A Review of Dendroctonus frontalis studied forest insects, and this volume is intended to summarize and interpret the distribution and abundance of the southern pine beetle) have been Figure 4.2ōSummary of model projections representing the spatial and. Critiques of Hubbell's 1979 model . Perspectives in Ecological Theory. The second is the binomial (or N-) mixture model for estimation and modeling of abundance. Determines the distribution and abundance of species. Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and Bugs: Volume 1: Prelude and Static Models. Parameters used in population model. Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS: Volume 1:Prelude and Static Models by Marc Ker. 1 Island-wide terrain model of Guam showing (a) conditions cultural landscapes, first applied to the Tongariro tive maritime heritage protection, in R. Cells, organisms, species and ecosystems. Overwinter survival of analysis indicates that the value of land is highly correlated to the Michael R. It begins with a definition of probability and Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS: Volume 1:Prelude and Static Models. The goal of the dynamic models is in some sense to predict the static has been fruitfully applied to the analysis of simple modules, in- MARGALEF, R. Bayesian Models is an essential primer for non-statisticians. Norton nothing is known about their distribution, populations, or other traits in the 1. Agroecology is the science of ecology applied to agriculture (Altieri 1 A model of an integrated social-ecological system (SES) as a holistic analysis (Loucks 1977).





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