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ONLINE COURSE – Introduction To Multivariate Analysis In Ecology And Evolutionary Biology (IMAE01) This course will be delivered live

29 August 2022 - 31 August 2022

£325.00
ONLINE COURSE – Introduction To Multivariate Analysis In Ecology And Evolutionary Biology (IMAE01) This course will be delivered live

Event Date

Monday, August 29th, 2022

Course Format

This is a ‘LIVE COURSE’ – the instructor will be delivering lectures and coaching attendees through the accompanying computer practical’s via video link, a good internet connection is essential.

Time Zone

TIME ZONE – Eastern Standard Time – however all sessions will be recorded and made available allowing attendees from different time zones to follow.

Please email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you).

About This Course

This community analytics course is designed for students who have recently started their projects or researchers who are starting using the R ecosystem. During this three-day course, we will cover the basic concepts of multivariate analysis and their implementation in R. This course is a complement to the PR Statistic offering allowing also beginners and non-programmers to discover the statistical tools needed to analyze an ecological dataset in research, natural resource management or conservation context. This course is not geared toward any particular taxonomic group or ecological system.

We will cover diversity indices, distance measures and multivariate distance-based methods, clustering, classification, and ordination techniques. We will focus on the concept of the methods and their implementation on R using different R packages. We will use real-world examples to implement analyses, such as describing patterns along gradients of environmental or anthropogenic disturbances, quantifying the effects of continuous and discrete predictors, data mining. The course will consist of lectures, work on R code scripts, and exercises for participants.

Intended Audiences

Any researchers (PhD and MSc students, post-docs, primary investigators) and environmental professionals who are interested in learning multivariate statistics.

Venue

Delivered remotely

Course Details

Time Zone – Eastern Standard Time

Availability – 20 places

Duration – 3 days

Contact hours – Approx. 21 hours

ECT’s – Equal to 2 ECT’s

Language – English

Teaching Format

The course will be divided into theoretical lectures to introduce and explain key concepts and theories, and practices with workshop sessions on R.

~2 modules per day, each module consists of ~1h30/2h lecture + coding, break, ~1h30/2h exercises + summary/discussion.

The schedule can be slightly modified according to the interest of the participants.

The course will take place online. All the sessions will be video recorded and made available immediately on a private video hosting website as soon as possible after each 2hr session.

Assumed quantitative knowledge

A basic knowledge of statistics is required.

Assumed computer background

The participants are required to have some previous experience with R and should know the main data types and how to run commands to create basic plots.

Equipment and software requirements

A laptop computer with a working version of R or RStudio is required. R and RStudio are both available as free and open source software for PCs, Macs, and Linux computers.

Participants should be able to install additional software on their own computer during the course (please make sure you have administration rights to your computer). 

A large monitor and a second screen, although not absolutely necessary, could improve the learning experience. Participants are also encouraged to keep their webcam active to increase the interaction with the instructor and other students.

Tickets

The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.
IMAE01 ONLINE
£ 325.00
Unlimited

PLEASE READ – CANCELLATION POLICY

Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact oliverhooker@prstatistics.com. Failure to attend will result in the full cost of the course being charged. In the unfortunate event that a course is cancelled due to unforeseen circumstances a full refund of the course fees will be credited.

If you are unsure about course suitability, please get in touch by email to find out more oliverhooker@prstatistics.com

COURSE PROGRAMME

Monday 29th – Classes from 09:00-17:00

Introduction with participants

Introduction to community ecology

Good practice in programming in R

Biodiversity indexes

Data transformation and distance

 

Tuesday 30th – Classes from 09:00-17:00

Classification

Ordination

Canonical analysis

 

Wednesday 31st – Classes from 09:00-17:00

Results visualization

Workshop and practices

Discussion

Course Instructor

 

 

 

Dr. Antoine Becker-Scarpitta

Works at – University of Helsink
Teaches – Multivariate analysis of ecological communities in R with the VEGAN package (VGNR03)

Antoine is a plant community ecologist working as a postdoctoral researcher at the University of Helsinki and as a postdoctoral fellow at the Institute of Botany of the Academy of the Czech Republic. Antoine holds a degree in Conservation Biology from the University of Paris-Sud-Orsay, and from the Natural History Museum of Paris, he obtained his PhD in Biology/Ecology from the University of Sherbrooke (Canada). Antoine’s research focuses on the temporal dynamics of biodiversity with a particular focus on the forest and Arctic vegetation. Antoine has taught community ecology, plant ecology and evolution, linear and multivariate statistics assisted on R.

Details

Start:
29 August 2022
End:
31 August 2022
Cost:
£325.00
Event Categories:
,

Venue

Delivered remotely (Finland)
Western European Time, United Kingdom + Google Map

Tickets

The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.
IMAE01 ONLINE
£ 325.00
Unlimited