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Introduction to spatial analysis of ecological data using R (ISPE01)

29 July 2019 - 2 August 2019

£275.00 - £500.00

Course overview:

The aim of the course is to introduce you to a spatial data processing, analysis, and visualization capabilities of the R programming language. It will teach a range of techniques using a mixture of lectures, computer exercises and case studies.

By the end of the course participants should:

  • Understand the basic concepts of spatial data analysis
  • Know R’s spatial capabilities
  • Understand how to import a range of spatial data sources into R
  • Be confident with using R’s command-line interface (CLI) for spatial data processing
  • Be able to perform a range of attribute operations (e.g. subsetting and joining), spatial operations (e.g. distance relations, topological relations), and geometry operations (e.g. clipping, aggregations)
  • Understand coordinate reference systems (CRSs), be able to decide which CRS to use, and how to reproject spatial data
  • Know how to visualize the results of a spatial analysis in the form of static and interactive maps
  • Have the confidence to apply spatial analysis skills to their own projects

Intended Audience

  • Academics and post-graduate students working on projects related to spatial data and want access to a powerful (geo)statistical and visualization programming language.
  • Applied researchers and analysts in public, private or third-sector organizations who need the reproducibility, speed and flexibility of a command-line language such as R.

The course is designed for intermediate-to-advanced R users interested in spatial data analysis and R beginners who have prior experience with geographic data.

Venue – PR statistics head office, 53 Morrison Street, Glasgow, G5 8LB Google Map
Availability – 20 places
Duration – 5 days
Contact hours – Approx. 35 hours
ECT’s – Equal to 3 ECT’s
Language – English


• COURSE ONLY – Includes lunch and refreshments and welcome meal Monday evening.
• ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast, lunch, refreshments and welcome dinner Monday evening. Self-catering facilities are available in the accommodation.
Accommodation is approximately a 6-minute walk from the PR informatics head office. Accommodation is multiple occupancy (max 3-4 people) single sex en-suite rooms. Arrival Sunday 28th July (between 17:00-21:00) and departure Friday 2nd August(accommodation must be vacated by 09:15). 

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

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 (and accommodation fees if booked through PR statistics) will be credited. However, PR statistics will not be held responsible/liable for any travel fees, accommodation costs or other expenses incurred to you as a result of the cancellation. Because of this PR statistics strongly recommends any travel and accommodation that is booked by you or your institute is refundable/flexible and to delay booking your travel and accommodation as close the course start date as economical viable.

Dr. Jakub Nowosad


Teaching Format
Course Programme


29 July 2019
2 August 2019
£275.00 - £500.00


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