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ONLINE COURSE – Species Distribution Modeling using R (SDMR02) This course will be delivered live

27 July 2020 - 30 July 2020

£490.00

This course will now be delivered live by video link in light of travel restrictions due to the COVID-19 (Coronavirus) outbreak.

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 –Eastern Daylight Time – however all sessions will be recorded and made available allowing attendees from different time zones to follow a day behind with an additional 1/2 days support after the official course finish date (please email oliverhooker@prstatistics.com for full details or to discuss how we can accommodate you).

Course Overview:

If you are interested in gaining the introductory knowledge required to work with SDMs, whether you be a student, postdoc, or practicing scientist, this course is for you.This four-day course will provide participants with the background knowledge and skills needed to get started in the use of species distribution models (SDMs) for applied and basic research. The course will focus on (1) the preparation of required spatial datasets (biological observations and environmental predictors); (2) practical considerations in the development, application, and interpretation of SDMs; and (3) fitting and evaluating SDMs using different statistical approaches – all using R.

Using a combination of lectures, coding exercises in R, and case studies, participants will learn to:

  • Understand background theory and model assumptions
  • Identify, manipulate and prepare spatial datasets for SDMs
  • Fit, interpret, and evaluate SDMs using several statistical methods (e.g., Maxent, Mahalanobis distance, generalized linear models, boosted regression trees)
  • Project SDMs to predict climate change impacts, etc.

The course is entirely R-based and while techniques of working with spatial data in R will be covered in detail, prior experience with R is highly recommended. If you are new to R, this course will be of most use to you if you work through a few tutorials to understand the basics of R programming before the start of the course. Students are highly encouraged to bring their own data sets, but this is not required for participation.

Course material will be presented by Matt Fitzpatrick who has published broadly in the use of SDMs for applied and basic science.

Intended Audience

Any researchers (PhD and MSc students, postdocs, primary investigators) and management and environmental professionals in government and industry interested in the use of SDMs for conservation, biogeography, spatial ecology, or related disciplines.

Venue – Delivered remotely

Time zone – Eastern Daylight Time

Availability – 20 places

Duration – 4 days

Contact hours – Approx. 28 hours

ECT’s – Equal to 3 ECT’s

Language – English

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.

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Dr. Matt Fitzpatrick

 

Teaching Format
Course Programme
Testimonialxd

Details

Start:
27 July 2020
End:
30 July 2020
Cost:
£490.00

Venue

Delivered remotely (USA east)
Eastern Daylight Time, MD United States + Google Map

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