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ONLINE COURSE – Introduction to spatial analysis of ecological data using R (ISPE04) This course will delivered live

18 May 2021 - 26 May 2021


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 – Poland local time (UTC+2) – 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:

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 – Delivered remotely

Time zone – Poland local time (UTC+2)

Availability – 20 places

Duration – 6 days

Contact hours – Approx. 27 hours

ECT’s – Equal to 2 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.

Dr. Jakub Nowosad
Teaching Format
Course Programme


18 May 2021
26 May 2021
Event Category:


Delivered remotely (Poland)
Central European Summer Time, Poland + Google Map


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