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Numerical Ecology with R

by Borcard, Daniel [... et al.]; Gillet, Francois; Legendre, Pierre.
Series: Use R!.Publisher: New York Springer 2011Description: 306 p 24.ISBN: 978-1-4419-7975-9.Subject(s): Numerical ecology | Ecology Forestry | Life Sciences | Monitoring | Environmental Analysis | Estadística Ecología numéricaOnline resources: Click here to access online
Contents:
pte. 1. Introduction -- pte. 2. Exploratory data analysis -- pte. 3. Association measures and matrices -- pte. 4. Cluster analysis -- pte. 5. Unconstrained ordination -- pte. 6. Canonical ordination -- pte. 7. Spatial analysis of ecological data -- Bibliographical references -- Index
Summary: This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book.
List(s) this item appears in: Estadística
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pte. 1. Introduction -- pte. 2. Exploratory data analysis -- pte. 3. Association measures and matrices -- pte. 4. Cluster analysis -- pte. 5. Unconstrained ordination -- pte. 6. Canonical ordination -- pte. 7. Spatial analysis of ecological data -- Bibliographical references -- Index

This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book.

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