"Including only the necessary mathematical derivations, Introduction to Ecological Sampling shows how to use sampling procedures for ecological and environmental studies. It incorporates both traditional sampling methods and recent developments in environmental and ecological sa…
An easy-to-understand treatment of ecological sampling methods and data analysis including only the necessary mathematical derivations, Introduction to Ecological Sampling shows how to use sampling procedures for ecological and environmental studies. It incorporates both traditi…
"Including only the necessary mathematical derivations, Introduction to Ecological Sampling shows how to use sampling procedures for ecological and environmental studies. It incorporates both traditional sampling methods and recent developments in environmental and ecological sa…
"This is an integration of empirical data and theory in quantitative ecology and evolution through the use of mathematical models and statistical methods."--Résumé de l'éditeur
This is an integration of empirical data and theory in quantitative ecology and evolution through the use of mathematical models and statistical methods.
This is an integration of empirical data and theory in quantitative ecology and evolution through the use of mathematical models and statistical methods.
This is an integration of empirical data and theory in quantitative ecology and evolution through the use of mathematical models and statistical methods.
This textbook provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. The book is written terms of the analysis of four data sets, two from ecology and two from agriculture.
This revised and updated edition focuses on constrained ordination (RDA, CCA), variation partitioning and the use of permutation tests of statistical hypotheses about multivariate data. Both classification and modern regression methods (GLM, GAM, loess) are reviewed and species …
An accessible introduction to the theory and practice of multivariate analysis for graduates, researchers and professionals dealing with ecological problems.
This revised and updated edition focuses on constrained ordination (RDA, CCA), variation partitioning and the use of permutation tests of statistical hypotheses about multivariate data. Both classification and modern regression methods (GLM, GAM, loess) are reviewed and species …
This revised and updated edition focuses on constrained ordination (RDA, CCA), variation partitioning and the use of permutation tests of statistical hypotheses about multivariate data. Both classification and modern regression methods (GLM, GAM, loess) are reviewed and species …