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 [email protected] or click on the link below.
http://gisinecology.com/live-online-course-an-introduction-to-making-graphs-and-maps-for-biologists-using-r/
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._______________________________________________
MARMAM mailing list
[email protected]
https://lists.uvic.ca/mailman/listinfo/marmam
