Dr. Mark Gardener
Dr. Christine Gardener
Publications and Support Notes
Here you can find some details about publications and any supplementary material associated with them.
Statistics for Ecologists | Beginning R | Guide to common grasses
Get "Statistics for Ecologists" here
Pelagic Publishing website
Data example files for the publication are available here
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Statistics for Ecologists using R and Excel
Data Collection, Exploration, Analysis and Presentation
by: Mark Gardener
Available now from Pelagic Publishing
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.
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.
Available wherever great books are sold in June 2012
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Beginning R: The Statistical Programming Language
by: Mark Gardener
Conquer the complexities of this open source statistical language
R is fast becoming the de facto standard for statistical computing and analysis in science, business, engineering, and related fields. This book examines this complex language using simple statistical examples, showing how R operates in a user–friendly context. Both students and workers in fields that require extensive statistical analysis will find this book helpful as they learn to use R for simple summary statistics, hypothesis testing, creating graphs, regression, and much more. It covers formula notation, complex statistics, manipulating data and extracting components, and rudimentary programming.
• R, the open source statistical language increasingly used to handle statistics and produces publication–quality graphs, is notoriously complex
• This book makes R easier to understand through the use of simple statistical examples, teaching the necessary elements in the context in which R is actually used
• Covers getting started with R and using it for simple summary statistics, hypothesis testing, and graphs
• Shows how to use R for formula notation, complex statistics, manipulating data, extracting components, and regression
• Provides beginning programming instruction for those who want to write their own scripts
Beginning R offers anyone who needs to perform statistical analysis the information necessary to use R with confidence.
Get the grass ID guide here
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Guide to common grasses
by: Mark Gardener and Carol Roberts
Available from the Field Studies Council website HERE
Covering 30 species, this new fold-out chart should enable everyone to put a name to some of the most common species of grass found in Britain and Ireland. A special feature of this chart is a simple-to-use lateral key to enable users to make an accurate identification quickly.
With text by Mark Gardener and illustrations by Carol Roberts this guide uses the classic lateral key developed by Charles Sinker. The illustrations are split into several sections covereing: Common meadow grasses, Woodland and riverbank grasses, Waste ground and roadside grasses.
The style of key allows the user to identify these common grasses even if all the characteristics are not available (if for example the plant is not in flower).
FSC 2010 OP136
