An Introduction To Making Graphs And Maps For Biologists Using R

ISBN: 978-1-909832-08-4; RRP: GBP: 24.99; USD: 32.99; Euro: 29.99; Published January 2022. Buy It Now: To purchase this book from Amazon.com, click here; To purchase it from Amazon.co.uk, click here. [NOTE: These options are not yet live].

For details of a free on-demand online course based around this book that can be used by individuals and educational establishments, click here [NOTE: This option is not yet live].

To download the data required to complete the exercises in this workbook, click here.

This is the second volume in the Practical Statistics for Biologists Workbooks series. It provides biologists with a uniquiely easy-to-understand introduction to creating graphs and maps in R. It does this through a series of practical exercises based on easy-to-follow flow diagrams that show biologists exactly how to do a variety of key tasks.

These include: 1. Creating your first graphs in R using GGPlot; 2. Creating graphs dispalying groups of data with GGPlot; 3. Creating graphs displaying individual data points 4. Creating other types of graphs, such as pie charts and bubble graphs; 5. Creating maps from biological data using R.

Together, these represent the key tasks biologists need to be able to carry out to make high quality graphs and maps. This means it provides the perfect practical introduction for any biologist interested in learning how to use R to create informative data visualisations.

We run a range of courses to fit all requirements based around this book, including in-person courses, live distance learning courses and a free on-demand online course. For more information, please click here. [NOTE: These options are not yet live].

Free Chapter Extracts

You can download the following free extracts from this book (but please do not re-post them anywhere else without express written permission):

    1. Table of Contents.
    2. Chapter 1 – Introduction (whole chapter).
    3. Chapter 2 – What You Need To Know To Get Started With R (first 4 pages).
    4. Chapter 3 – How To Create Your First Graphs in R Using GGPlot (introduction to the chapter and the first 6 pages of Exercise 1.1: How to create a bassic graph in R using GGPlot).
    5. Exercise 2.1 – How To Classify Data Into Groups And Create A Bar Graph Based On Them (first 6 pages).
    6. Exercise 3.1 – How To Create An X-Y Scatter Plot Displaying One Data Series Using GGPlot (first 6 pages).

Where To Purchase It

This book can be purchased from from Amazon.com, Amazon.co.uk, and other local Amazon sites, as well as from all other good bookshops, or direct from the publishers, Pictish Beast Publications, with worldwide shipping. [NOTE: These options are not yet live].


Purchase Options



Wholesalers and retailers can also order this book through the Ingram Content Group, and bulk orders can be arranged directly with the publishers by emailing info@pictishbeastpublications.com.

Other Books In This Series

This is the second book in the Practical Statistics for Biologists Workbooks series. For details of other books in this series, click here.

Data Download For This Workbook

To download the data required for this workbook, first create a new folder on your computer and rename it STATS_FOR_BIOLOGISTS_TWO. Next, click here to download compressed file containing the data to the folder you have just created. Once it has been downloaded, open the compressed file, copy its entire contents (which consists of a total of 90 files) and paste them into the folder STATS_FOR_BIOLOGISTS_TWO. Once you have done this, you are ready to start working through the practical exercises in this workbook. NOTE: You only need to download and unzip this compressed file once as it contains all the files you need to complete every exercise contained in An Introduction to Making Graphs and Maps for Biologists using R.

If, for some reason, you cannot download and unzip this compressed folder, you can contact us at info@GISinEcology.com and we will provide an alternative way to access the required data sets.