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ONLINE COURSE – Landscape genetic data analysis using R (LNDG04) This course will be delivered live

9th August 2021 - 13th August 2021

£480.00
ONLINE COURSE – Landscape genetic data analysis using R (LNDG04) This course will be delivered live

Event Date

Monday, 9th August, 2021

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.

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

TIME ZONE

TIME ZONE – Eastern Standard Time – Please email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you).

About This Course

The term ‘landscape genetics’ has been applied studies that integrate ecological context and intervening landscape into population genetic analyses of contemporary processes such as gene flow and migration. This course will cover the basics of both quantitative landscape ecology and population genetics, focusing on how we develop and evaluate spatial/genetic analyses using the R platform.

Intended Audiences

This course is suitable for graduate students, postdoctoral researchers, and primary investigators interested in learning how to integrate landscape ecological and population genetic tools using the R software.

Course Details

Availability – 24 places

Duration – 5 days

Contact hours – Approx. 35 hours

ECT’s – Equal to 3 ECT’s

Language – English

Venue

Delivered Remotely

Teaching Format

There will be morning lectures based on the modules outlined in the course timetable. In the afternoon there will be practicals based on the topics covered that morning. Data sets for computer practicals will be provided by the instructors, but participants are welcome to bring their own data.

Assumed quantative knowledge

A basic understanding of statistical concepts. Specifically, generalised linear regression models, statistical significance, hypothesis testing.

Assumed computer background

Familiarity with R. Ability to import/export data, manipulate data frames, fit basic statistical models & generate simple exploratory and diagnostic 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. R may be downloaded by following the links here https://www.r-project.org/. RStudio may be downloaded by following the links here: https://www.rstudio.com/.

All the R packages that we will use in this course will be possible to download and install during the workshop itself as and when they are needed, and a full list of required packages will be made available to all attendees prior to the course.

A working webcam is desirable for enhanced interactivity during the live sessions, we encourage attendees to keep their cameras on during live zoom sessions.

Although not strictly required, using a large monitor or preferably even a second monitor will improve he learning experience

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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 15th

Classes from 9:30 to 17:30

Module 1: Spatial & Ecological Data.
Installation & configuring R & RStudio
Acquiring spatial data, projections, and visualization
Vector and raster data

 

Tuesday 16th

Classes from 9:30 to 17:30

Module 2: Genetic markers and basic analyses
Genetic markers and sampling
Genetic distance, diversity, and structure
Ordination techniques based upon genetic markers

 

Wednesday 17th

Classes from 9:30 to 17:30

Module 3: Integrating spatial and genetic data
Barrier detection & population division
Resistance Modeling
Mantel and distance regressions
Remote sensing – LiDAR and Hyperspectral data

 

Thursday 18th

Classes from 9:30 to 17:30

Module 4: Integrating spatial and genetic data
Spatial autocorrelation
Network Approaches
PCMN & Redundancy

 

Friday 19th

Classes from 9:30 to 17:30

Module 5: Adaptive Genetic Variance
Outliers & gradients
Quantitative genetics, why we should care.
Chromosome walking

 

Course Instructor

Prof. Rodney Dyer

Coming Soon

Details

Start:
9th August 2021
End:
13th August 2021
Cost:
£480.00
Event Categories:
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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.
Tickets are no longer available