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Quantitative geographic ecology using R: modelling genomes, niches, and communities (QGER01)

30th April 2018 - 4th May 2018

£275.00 – £540.00

Course Overview:

Spatial modelling is increasingly being used in ecology and evolutionary biology for both basic and applied research questions. While emphasis traditionally has been on species-level niche modelling, the increasing availability of genomic and community-level data has increased interest in modelling biodiversity patterns above and below the species level. This 5-day course will provide a thorough introduction to different spatial modelling techniques for quantifying and visualizing patterns of biodiversity across scales of biological organization – from population-level genetic variation, to species ecological niches, to communities. Students will learn about theory, common data types, and statistical techniques used in these different applications.

The course will include introductory lectures, guided computer coding in R, and exercises for the participants, with an emphasis on visualization and reproducible workflows. All modelling and data manipulation will be performed with R. Attendees will learn to use niche modelling algorithms including Maxent, GLM, GAM, and others, and will learn both new and existing methods for conducting comparative studies using ENMs in the new ENMTools R package.  Generalized Dissimilarity Modelling (GDM) and Gradient Forest (GF) will be taught for modelling genomic and community-level data. The course is intended for intermediate R users with interest in quantitative geographical ecology.

After successfully completing this course students will:

  • Understand the theory underlying ENMs and the critical assumptions necessary to the modelling process.
  • Be able to develop, evaluate, and apply ENMs both in the context of conservation-oriented studies and to study niche evolution.
  • Understand the statistical underpinnings of GDM and GF
  • Be able to develop, evaluate and apply GDM and GF for quantifying and mapping spatial genetic patterns and community-level compositional variation
  • Assess population- and community-level vulnerability to climate change

Intended Audience

Any researchers (from postgraduate students to senior investigators) interested in the use of spatial modelling for quantifying and visualizing patterns of biodiversity, including those in applied fields and basic science.

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 form the PR statistics head office. Accommodation is multiple occupancy (max 3-4 people) single sex en-suite rooms. Arrival Sunday 29th April (after 5pm) and departure Friday 4th May (accommodation must be vacated by 9am). An additional nights accommodation can be purchased, departure 9am Saturday morning email for details.

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


Dr. Dan Warren


Dr. Matt Fitzpatrick

Teaching Format
Course Programme


30th April 2018
4th May 2018
£275.00 – £540.00


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


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