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9781907807121: Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation

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This is a book about the scientific process and how we apply it to data in ecology. We will learn how to plan for data collection, how to assemble data, how to analyse data and finally how to present the results. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs.

Who this book is for

Students of ecology and environmental science will find this book aimed at them although many other scientists will find the text useful as the principles and data analysis are the same in many disciplines. No prior knowledge is assumed and the reader can develop their skills to degree level and beyond.

What you will learn from this book

How to plan ecological projects How to record and assemble your data How to use Excel for data analysis and graphs How to use R for data analysis and graphs How to carry out a wide range of statistical analyses How to create professional looking graphs How to present your results

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Informazioni sull?autore

Mark Gardener (www.gardenersown.co.uk) is an ecologist, lecturer, and writer working in the UK. His primary area of research was in pollination ecology and he has worked in the UK and around the word (principally Australia and the United States). Since his doctorate he has worked in many areas of ecology, often as a teacher and supervisor. He believes that ecological data, especially community data, is the most complicated and ill-behaved and is consequently the most fun to work with. He was introduced to R by a like-minded pedant whilst working in Australia during his doctorate. Learning R was not only fun but opened up a new avenue, making the study of community ecology a whole lot easier. He is currently self-employed and runs courses in ecology, data analysis, and R for a variety of organizations. Mark lives in rural Devon with his wife Christine, a biochemist who consequently has little need of statistics.

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9781907807138: Statistics for Ecologists Using R and Excel: Data collection, exploration, analysis and presentation

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ISBN 10:  1907807136 ISBN 13:  9781907807138
Casa editrice: Pelagic Pub Ltd, 2012
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Gardener, Mark
Editore: Pelagic Publishing Ltd., 2012
ISBN 10: 1907807128 ISBN 13: 9781907807121
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Da: Better World Books Ltd, Dunfermline, Regno Unito

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Condizione: Good. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. Codice articolo 39189661-20

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Gardener, Mark
Editore: Pelagic Publishing, 2012
ISBN 10: 1907807128 ISBN 13: 9781907807121
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Gardener, Mark.
ISBN 10: 1907807128 ISBN 13: 9781907807121
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Da: Andrew Isles Natural History Books, Prahran, VIC, Australia

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Octavo, paperback,324 pp.,black and white illustrations. This book details how the scientific process is applied to data in ecology. This book gives detailed information on how to plan for data collection, assemble data, analyse data and finally how to present the results. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs. Students of ecology and environmental science will find this book aimed at them although many other scientists will find the text useful as the principles and data analysis are the same in many disciplines. No prior knowledge is assumed and the reader can develop their skills up to degree level and beyond. Also available in hardcover [stock id 34490]. Codice articolo 34267

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Gardener, Mark
Editore: Pelagic Publishing, 2012
ISBN 10: 1907807128 ISBN 13: 9781907807121
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Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_442187235

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Gardener, Mark
Editore: Pelagic Publishing, 2012
ISBN 10: 1907807128 ISBN 13: 9781907807121
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Paperback. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Codice articolo Scanned1907807128

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