Community Ecology: Data in the Wild
Autor Mark Gardeneren Limba Engleză Paperback – feb 2014
The study of ecological community data involves many methods of analysis. In this book you will learn many of the mainstays of community analysis including: diversity, similarity and cluster analysis, ordination and multivariate analyses. This book is for undergraduate and postgraduate students and researchers seeking a step-by-step methodology for analysing plant and animal communities using R and Excel.
Microsoft's Excel spreadsheet is virtually ubiquitous and familiar to most computer users. It is a robust program that makes an excellent storage and manipulation system for many kinds of data, including community data. The R program is a powerful and flexible analytical system able to conduct a huge variety of analytical methods, which means that the user only has to learn one program to address many research questions. Its other advantage is that it is open source and therefore completely free. Novel analytical methods are being added constantly to the already comprehensive suite of tools available in R.
Mark Gardener is both an ecologist and an analyst. He has worked in a range of ecosystems around the world and has been involved in research across a spectrum of community types. His knowledge of R is largely self-taught and this gives him insight into the needs of students learning to use R for complicated analyses.
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 416.51 lei 6-8 săpt. | |
Pelagic Publishing Ltd – feb 2014 | 416.51 lei 6-8 săpt. | |
Hardback (1) | 509.62 lei 6-8 săpt. | |
Pelagic Publishing Ltd – 31 ian 2014 | 509.62 lei 6-8 săpt. |
Preț: 416.51 lei
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Specificații
ISBN-13: 9781907807619
ISBN-10: 1907807616
Pagini: 556
Dimensiuni: 170 x 244 x 29 mm
Greutate: 0.89 kg
Ediția:New.
Editura: Pelagic Publishing Ltd
Seria Data in the Wild
ISBN-10: 1907807616
Pagini: 556
Dimensiuni: 170 x 244 x 29 mm
Greutate: 0.89 kg
Ediția:New.
Editura: Pelagic Publishing Ltd
Seria Data in the Wild
Notă biografică
Descriere
Covers many of the mainstays of community analysis including: diversity, similarity and cluster analysis, ordination and multivariate analyses. Aimed at undergraduate and postgraduate students and researchers seeking a step-by-step methodology for analysing plant and animal communities using R and Excel.