[MARMAM] Online Course Announcement: An Introduction to Making Graphs and Maps for Biologists using R, 25 to 28 March 2024

Colin D MacLeod cdmacleod at gisinecology.com
Wed Feb 21 03:27:30 PST 2024

Data preparation, presentation and analysis are key skills for all those 
working with marine mammals, and of the available software packages for 
doing these, R has rapidly become the most widely used. This means that 
a knowledge of how to prepare, analyse and visualise data in R is now an 
essential skill for marine mammalogists.

To help marine mammalogists (and other biologists) develop their skills 
in this area, we will be running an instructor-led online course at the 
end of March 2024 based around our book, An Introduction to Making 
Graphs and Maps for Biologists using R.

It will be held on the Zoom video-conferencing platform and will provide 
all the practical knowledge and experience you need to make a wide range 
of high quality and informative data visualisations from biological data 
in R using packages such as GGPlot. While it may be useful, no previous 
experience with R is required to do this course.

The course will run from the 25th to the 28th March 2024. It will 
consist of four three-hour sessions, and one session will need to be 
completed each day. However, you will have a choice of completing it 
between 10:00 and 13:00 UK Time (primarily for those living in Europe, 
Asia and Africa) or 19:00 to 22:00 UK Time (primarily for those living 
in North and South America). This choice of time slots for each session 
allows participants from as wide a range of time zones to participate in 
the course.

Attendance will be limited to a maximum of 24 people per session. The 
fees for this course are GBP 295 per person (with a discounted rate of 
GBP 245 for students, the unwaged and those working for registered 
charities). To book a place, or for more information, you can either 
email us at info at GISinEcology.com or click on the link below.

About the Course:

This is a practical course and it is aimed at anyone who wishes to learn 
how to make high quality and informative graphs and maps based on 
biological data using R. The topics covered on this course will include 
an introduction to making graphs using the GGPlot package, making bar 
graphs of count data, making graphs of summary statistics (such as mean 
values) with error bars, making point graphs of summary statistics for 
two variables with vertical and horizontal error bars, making box plots, 
making X-Y scatter plots of individual data points, making line graphs 
of time series data, making pair-plot matrices of environmental 
variables, making pie charts, making bubble graphs, making mixed type 
graphs, making simple X-Y plots of tracking data and making maps from 
biological data in R. In addition, you will learn how to use a variety 
of different R packages and how to create workflows for making any type 
of graph, map or data visualisation in R.

Each session will consist of a series of background talk covering 
specific topics (more details are provided below), followed by related 
practical exercises based on instructions from An Introduction to Making 
Graphs and Maps for Biologists using R. While you are encouraged to 
remain online during the practical sessions, you can choose to go 
off-line as you work though the exercises (or if you need to take a 
break). However, if you have any questions, the course instructor will 
be available throughout the course for you to ask any questions you wish 
at any point.

This course will be hosted by Dr Colin D MacLeod, one of the authors of 
An Introduction to Making Graphs and Maps for Biologists using R.

At the end of the course, all attendees will receive a certificate of 
attendance and completion. Each certificate is embossed with the GIS In 
Ecology official stamp to prevent its fraudulent reproduction. In 
addition, each certificate has its own unique identification number that 
we will record, along with your name, meaning that we can verify the 
authenticity of the certificates we issue (and the course you have 
completed) on request.

Specific Topics This Course Will Cover:


An introduction to R and RStudio (and, if required, this will include 
help with installing these software packages).

What you need to know to get started with using R.

How to create your first graphs in R using GGPlot.

How to create graphs displaying groups of data with GGPlot.

How to create graphs displaying individual data points with GGPlot

How to create other types of graphs, including pie charts, bubble 
graphs, mixed type graphs and X-Y plots of tracking data.

How to create simple maps from biological data using R.

How to work out how to do things in R.

How to create an annotated R code archive so you have a record of what 
you have done.
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