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Numerical Ecology with R
This new edition of Numerical Ecology with R guides readers through an applied exploration of the major methods of multivariate data analysis, as seen through the eyes of three ecologists. It provides a bridge between a textbook of numerical ecology and the implementation of this discipline in the R language. The book begins by examining some exploratory approaches. It proceeds logically with the construction of the key building blocks of most methods, i.e. association measures and matrices, and then submits example data to three families of approaches: clustering, ordination and canonical ordination. The last two chapters make use of these methods to explore important and contemporary issue...
Restoring the Earth - The next decade
This Unasylva issue aims at showcasing forest and landscape restoration (FLR) opportunities and recent developments that have the power to upscale restoration, in order to achieving the Bonn Challenge pledge and other national and international commitments (Sustainable Development Goals (SDGs), the Convention for Biological Diversity (CBD) Post-2020 Agenda, the United Nations Convention to Combat Desertification (UNCCD) Land Degradation Neutrality, Paris Agreement under the United Nations Framework Convention on Climate Change (UNFCCC)) and addressing the needs of the UN Decade 2021-2030 on Ecosystem Restoration. The content adresses thematics of relevance to various audiences: i) flagship r...
Sustainable Forestry
In the context of forest sustainability, this book presents the issues related to both global climate change and conservation of biodiversity. It highlights four methodologies and shows how they contribute in overcoming the ecological challenges facing our world. The practical experience presented can be applied to the implementation of successful sustainable forestry policies.
Marine epibioses
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Genetics Meets Metabolomics
This book is written by leading researchers in the fields about the intersection of genetics and metabolomics which can lead to more comprehensive studies of inborn variation of metabolism.
Applied Multidimensional Scaling
This book introduces MDS as a psychological model and as a data analysis technique for the applied researcher. It also discusses, in detail, how to use two MDS programs, Proxscal (a module of SPSS) and Smacof (an R-package). The book is unique in its orientation on the applied researcher, whose primary interest is in using MDS as a tool to build substantive theories. This is done by emphasizing practical issues (such as evaluating model fit), by presenting ways to enforce theoretical expectations on the MDS solution, and by discussing typical mistakes that MDS users tend to make. The primary audience of this book are psychologists, social scientists, and market researchers. No particular background knowledge is required, beyond a basic knowledge of statistics.
