Statistics for Ecologists Using R and Excel
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Product Description
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 up 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 About the author: 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, working extensively in the UK as well as Australia and the United States. He is an associate lecturer for the Open University and also runs courses in data analysis for ecology and environmental science. Data in the Wild Series Data in the Wild is a series of practical books, sharing key tools and methods for the collection, analysis and interpretation of environmental data. They are published rapidly in print and digital formats.
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3 of 3 people found the following review helpful
Format:Paperback
In the past, I along with most of my colleagues, would recommend the excellent Fowler, Cohen & Jarvis (Practical Statistics for Field Biologists, OUP) to undergraduate students grappling with basic statistical analysis. However the ubiquity of Excel and the growing popularity of the free but powerful statistical package R make that book look a bit dated today.
Statistics for Ecologists using R and Excel is an excellent replacement covering most of the standard tests I would expect an ecologist or marine biology student at the Centre for Environmental and Marine Sciences to be able to deal with by the end of their 1st year. The reader is led gently through each test in both Excel and R with the assistance of screen shots of relevant examples. I particularly like the emphasis on the basics (planning, data recording, exploring data (looking at numbers and graphs) and reporting results. There is some particularly good advice on transforming data. Most of the tests you expect to see are covered: t-tests, correlation, ANOVAs, regression and the non-parametric equivalents. The author is plainly an ecologist with lots of teaching experience rather than a mathematician! Another feature that I like is the fact that you don't have to flip backwards and forwards through the pages to attempt each test - all of the information you need for each one is in each section. The only criticism I have of the book is that Multi Variate Analyses are not mentioned.
I recommend this text to any undergraduate or tutor that teaches statistical analyses to environmental scientists, field biologists, ecologists or marine biologists.
Statistics for Ecologists using R and Excel is an excellent replacement covering most of the standard tests I would expect an ecologist or marine biology student at the Centre for Environmental and Marine Sciences to be able to deal with by the end of their 1st year. The reader is led gently through each test in both Excel and R with the assistance of screen shots of relevant examples. I particularly like the emphasis on the basics (planning, data recording, exploring data (looking at numbers and graphs) and reporting results. There is some particularly good advice on transforming data. Most of the tests you expect to see are covered: t-tests, correlation, ANOVAs, regression and the non-parametric equivalents. The author is plainly an ecologist with lots of teaching experience rather than a mathematician! Another feature that I like is the fact that you don't have to flip backwards and forwards through the pages to attempt each test - all of the information you need for each one is in each section. The only criticism I have of the book is that Multi Variate Analyses are not mentioned.
I recommend this text to any undergraduate or tutor that teaches statistical analyses to environmental scientists, field biologists, ecologists or marine biologists.
2 of 2 people found the following review helpful
Format:Paperback
This book is a superb way in for all those looking at how to design investigations and collect data to support their findings. It takes the student or researcher gently into how to set up recording techniques to gather data, tabulate the results and then how to use statistical packages that are available free of charge to give valid conclusions. It is holistic, well illustrated and indexed with user friendly advice and suggestions. I have the paperback and have already used it several times to check student work and help student projects. Working in field centres, I find it is an area of work that is not often well understood by students. This book is one of several that have been released recently - I think it is the best for fieldwork as it is relevant and excellent value for money. If I had a minor criticism - it would be on the lightweight paper which is marks easily or perhaps that shows how much I use it already!!
Sue Townsend - Biodiversity Learning Manager - Field Studies Council
1907807128 Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation (Data in the Wild)
Sue Townsend - Biodiversity Learning Manager - Field Studies Council
1907807128 Statistics for Ecologists Using R and Excel: Data Collection, Exploration, Analysis and Presentation (Data in the Wild)
Format:Paperback|Amazon Verified Purchase
A useful, practical guide to data collection, analysis (using readily available and/or free software)and interpretation for students and ecologists alike. The step-by-step guides with screen shots work well and are kept simple. The author's teaching style flows into the pages, keeping the subject both informative and interesting, with a degree of humour. A must for anyone getting to grips with data analysis using R and excel.
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