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Community Ecology: Analytical Methods Using R and Excel (Data in the Wild) - Tapa blanda
Libro 1 de 7: Data in the Wild
Sinopsis
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.
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Acerca del autor
Mark Gardener began his career as an optician but returned to science and trained as an ecologist. His research is in the area of pollination ecology. He has worked extensively in the UK as well as Australia and the United States. Currently he works as an associate lecturer for the Open University and also runs courses in data analysis for ecology and environmental science.
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Community Ecology: Analytical Methods Using R and Excel
Publicado por
Pelagic Publishing, 2014
ISBN 10: 1907807616
ISBN 13: 9781907807619
Antiguo o usado
Paperback
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Good. Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology. This is important to our understanding of the planets biological diversity and how species interactions relate to the functioning of ecosystems at all scales. Species do not live in isolation and the study of community ecology is of practical application in a wide range of conservation issues. 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. Nº de ref. del artículo: 00110704502
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Community Ecology: Analytical Methods Using R and Excel (Data in the Wild)
Publicado por
Pelagic (edition ), 2014
ISBN 10: 1907807616
ISBN 13: 9781907807619
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Paperback
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Nº de ref. del artículo: 1907807616-11-1
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Community Ecology: Analytical Methods Using R and Excel (Data in the Wild)
Librería: Zoom Books Company, Lynden, WA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service. Nº de ref. del artículo: ZBV.1907807616.VG
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Community Ecology: Analytical Methods Using R and Excel
Publicado por
Pelagic Publishing, 2014
ISBN 10: 1907807616
ISBN 13: 9781907807619
Antiguo o usado
Paperback
Librería: World of Books Inc, Montgomery, IL, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Paperback. Condición: Good. Interactions between species are of fundamental importance to all living systems and the framework we have for studying these interactions is community ecology. This is important to our understanding of the planets biological diversity and how species interactions relate to the functioning of ecosystems at all scales. Species do not live in isolation and the study of community ecology is of practical application in a wide range of conservation issues. 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. Nº de ref. del artículo: CIN1907807616G
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Community Ecology : Analytical Methods Using R and Excel
Publicado por
Pelagic Publishing Ltd., 2014
ISBN 10: 1907807616
ISBN 13: 9781907807619
Antiguo o usado
Tapa blanda
Librería: Better World Books Ltd, Dunfermline, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Nº de ref. del artículo: 18986151-6
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Community Ecology: Analytical Methods Using R and Excel (Data in the Wild)
Publicado por
Pelagic Publishing, 2014
ISBN 10: 1907807616
ISBN 13: 9781907807619
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Paperback
Librería: Textbooks_Source, Columbia, MO, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
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Community Ecology : Analytical Methods Using R and Excel
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. Nº de ref. del artículo: 20883932-5
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COMMUNITY ECOLOGY: ANALYTICAL METHODS US Format: Paperback
Publicado por
Simon and Schuster, 2014
ISBN 10: 1907807616
ISBN 13: 9781907807619
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Tapa blanda
Librería: INDOO, Avenel, NJ, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread copy in mint condition. Nº de ref. del artículo: SS9781907807619
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COMMUNITY ECOLOGY: ANALYTICAL METHODS US Format: Paperback
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Condición: New. Brand New. Nº de ref. del artículo: 9781907807619
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Community Ecology
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: CX-9781907807619
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