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Species distribution models using R (SDMR01)

12th June 2018 - 15th June 2018

Course Overview:

The aim of this four-day course is to work towards an understanding of, and practical ability to fit, species distribution models (SDMs). It will be useful if you plan to use SDMs, or if you just want to understand them better. We will focus on statistical models of species distributions – those that combine observed species records with environmental data. Using a mixture of lectures, computer exercises and case studies, participants will learn to:

  • identify relevant data, and prepare it for modelling;
  • fit models using several modelling methods (including Maxent, generalized linear models and their extensions, and boosted regression trees);
  • consider how to model species if detection is imperfect;
  • evaluate models and interpret them;
  • understand the range of practical issues that arise in typical applications of SDMs.

Practical sessions will use the free statistical software, R – prior experience (even if some practice before you come) will be useful. Example data will be provided but participants may also bring their own data.

Presenters include Jane Elith and Gurutzeta Guillera-Arroita, who are highly experienced in SDMs.

Intended Audience

Research postgraduates, practicing academics and primary investigators in spatial ecology particularly communities (bacteria, plants, animals) sampled along transects, regular grids or irregularly distributed sites. The skills learnt can also be applied by management and environmental professionals in government and industry.

Venue – PR statistics head office, 53 Morrison Street, Glasgow, G5 8LB – Google map
Availability – 30 places
Duration – 5 days
Contact hours – Approx. 35 hours
ECT’s – Equal to 3 ECT’s
Language – English


• COURSE ONLY – Includes lunch and refreshments.
• ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast, lunch, welcome dinner Monday evening, farewell dinner Thursday evening, refreshments and accommodation. Self-catering facilities are available in the accommodation. Accommodation is approximately a 6-minute walk from the PR statistics head office. Accommodation is multiple occupancy (max 3-4 people) single sex en-suite rooms. Arrival Sunday 11th June (after 5pm) and departure Friday 15th June (accommodation must be vacated by 9am).

To book ‘COURSE ONLY’ with the option to add the additional ‘ACCOMMODATION PACKAGE’ please scroll to the bottom of this page.

Other payment options are available please email oliverhooker@prstatistics.com

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 PRstatistics must cancel this course due to unforeseen circumstances a full refund for the course will be credited. However PRstatistics cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.


Prof. Jane Elith


Dr. Gurutzeta Guillera


Jose Lahoz-Monfort

Teaching Format
Course Programme


12th June 2018
15th June 2018


PR statistics head office
53 Morrison Street
Glasgow, Scotland G5 8LB United Kingdom
+ Google Map