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Multivariate analysis of spatial ecological data using R (MASE01)

19th June 2017 - 23rd June 2017

Course Overview:

This 5-day course will cover the concepts, methods, and R tools that can be used to analyse spatial data in ecology. The start of the course will cover the basics of linear models and spatial data processing in R and provide a common ground for more advanced techniques encountered later on the course. We will cover spatial statistical techniques for both continuous and discrete data response types. We will put special emphasis on understanding mechanisms using visual tools, and quantifying uncertainty for model parameters and predictions. We will introduce Markov chain Monte Carlo methods for spatial hierarchical models and discuss special topics relevant for study design and conservation and management applications. Modules will consist of introductory lectures, guided computer coding, and exercises for the participants, analysing real data.

Intended Audience

Research postgraduates, practicing academics and primary investigators in spatial ecology and management and environmental professionals in government and industry.

Venue – SCENEGoogle mapDirections
Availability – 32 places
Duration – 5 days
Contact hours – Approx. 37 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 18th June (after 5pm) and departure Friday 23rd 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 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.


Prof. Subhash Lele


Prof. Peter Solymos

Teaching Format
Course Programme


19th June 2017
23rd June 2017


Loch Lomond, Rowardennan,
Glasgow, Scotland, G63 0AW, United Kingdom
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01360 870271