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Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation (Data in the Wild) - Softcover
Synopsis
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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About the Author
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.
"About this title" may belong to another edition of this title.
- PublisherPelagic Publishing
- Publication date2012
- ISBN 10 1907807128
- ISBN 13 9781907807121
- BindingPaperback
- LanguageEnglish
- Number of pages324
- Rating
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Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation (Data in the Wild)
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Pelagic Publishing (edition ), 2012
ISBN 10: 1907807128
ISBN 13: 9781907807121
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Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation (Data in the Wild)
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Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation (Data in the Wild)
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Statistics for Ecologists Using R and Excel (Data in the Wild): Data Collection, Exploration, Analysis and Presentation
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Statistics for ecologists using R and Excel: data collection, exploration, analysis and presentation.
Published by
Exeter: Pelagic Publishing, 2012., 2012
ISBN 10: 1907807128
ISBN 13: 9781907807121
Used
Softcover
Seller: Andrew Isles Natural History Books, Prahran, VIC, Australia
Seller rating 4 out of 5 stars
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]. Seller Inventory # 34267
Quantity: 1 available
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Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation (Data in the Wild)
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Paperback. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Seller Inventory # Scanned1907807128
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