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Spatial data analysis with R

Spatial data analysis with R
Date: 26.02.2018 9:00 - 27.02.2018 17:00
Location details: The event is organised at the CSC Training Facilities located in the premises of CSC at Keilaranta 14, Espoo, Finland. The best way to reach us is by public transportation; more detailed travel tips are available.
Language: english-language
lecturers: Marko Kallio (University of Aalto)
Juha Aalto (University of Helsinki / FMI)
  • 120 for-finnish-academics
  • 560 for-others
The fee covers all materials, lunches as well as morning and afternoon coffees.
The course is FULLY BOOKED, if you want to be added to the waiting list, please send an e-mail to
The seats are filled in the registration order. If a cancellation is received five (5) business days prior to the course, the course fee will be refunded with the exception of a handling fee of 10 €. For no-shows and cancellations after the cut of date no refunds will be made. Registration can be transferred to someone else from the same organization without additional charge.

Payment can be made with electronic invoicing, credit card, or direct bank transfer. Note that for electronic invoicing you need the operator and e-invoicing address (OVT code) of your organization. Please also note that invoice reference is needed for electronic invoicing in your organization, so please have this available when registering.
Additional Information
The aim of the course is to familiarize participants with spatial analysis with R. On the first day of the course vector data is in focus, on the second day raster data.
The course consists of a flexible combination of lectures, examples and exercises with an emphasis on hands-on experience.


  • Basics of geoinformatics and geostatistics
  • Basic use of R, no earlier experience with R spatial packages is needed.
Compared to last years Geospatial data analysis with R course this is a totally different course.
Monday 26.2.2017
9:00-10:30 Handling and plotting vector data in R
10:30-10:45 Coffee break
10:45-12:15 Spatial operations (intersection, clipping, conversions etc)
12.15-13:00 Lunch
13:00-14:30 Spatial analysis of vector data (clustering, density surfaces, autocorrelation)
14:30-14:45 Coffee break
14:45-16:00 Spatial analysis cont.


Tuesday 27.2.2017

9:00-10:30 Raster basics with R
10:30-10:45 Coffee break
10:45-12:15 Raster data manipulation
12.15-13:00 Lunch
13:00-14:30 Map algebra
14:30-14:45 Coffee break
14:45-15:45 R Raster package in spatial modelling
15:45-16:15 Spatial analysis with R in Taito supercluster (Kylli Ek, CSC)
Course materials