“Ecology is a complex discipline that can best be understood by making suitable abstractions, or models. The simplest mathematical models are composed of general rules and rarely require more than two equations. These models have the advantage that they apply to a variety of systems. The book…...
Statistics for Ecologists Using R and Excel £34.99 More Info Community Ecology £39.99 More Info An Introduction to Spatial Data Analysis £32.99 More Info Integrated Population Models £97.99 More Info Habitat Suitability and Distribution Models £46.99 More Info The World of Zero-In...
Numerical Ecology with R other Author(s): Daniel Borcard , Francois Gillet , Pierre Legendre Publication date (Print): 2011 Publisher: Springer New York Read this book at Publisher Buy book Review Bookmark Cite as... There is no author summary for this book yet. Authors can add summaries...
This book would be (very) suitable for a graduate course on statistical consulting—indeed, students would learn a great deal about the use of sophisticated statistical models in ecology! …I very much liked this book (and also the previous volume). I enjoyed the nontechnical presentations of ...
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#Functions for the book Applied Hierarchical Modeling in Ecology (AHM) #Marc Kery & Andy Royle, Academic Press, 2016. #simHDSpoint #This is a re-factored and more efficient version of the 'point' type for 'simHDS'. #Note that some of the arguments have changed. ...
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:notebook: Data Carpentry R lessons on ecology. Contribute to AnestisTouloumis/R-ecology-lesson development by creating an account on GitHub.
r is the best computing environment for most data analysis tasks. r is free, open-source, and has thousands of contributed packages. it is used in such diverse fields as ecology, finance, genomics and music. if you are using spreadsheets to understand data, switch to r. you will have saf...
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...