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Siirry CSC:n koulutuskalenteriin
null R_spatial_2017
Geospatial data analysis with R
Päiväys: 28.03.2017 9:00 - 29.03.2017 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.
Kieli: english-language
lecturers: Dr. Olli Lehtonen (LUKE)
  • 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 would like to be on the waiting list, please inform The seats are filled in the registration order. You may cancel your attendance without a charge 5 business days prior the course. For cancellations after that and no-shows without a cancellation the full fee will be invoiced.
The aim of the course is to familiarize participants with spatial statistics with R. The course covers following topics:
* Spatial autocorrelation
* Spatial regression models
* Spatial clustering
* Spatial interpolation
* Maps with R
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 Spatial modelling with R and QGIS workshop this is a totally different course, based on a similar course at UEF. During this course the spatial analysis tools for R are covered in detail. So if you took part last year you are welcome back!

Monday 27.3.2017
9:00-10:30 Basics of R
10:30-10:45 Coffee break
10:45-12:15 Regression modeling with R
12.15-13:00 Lunch
13:00-14:30 Spatial autocorrelation
14:30-14:45 Coffee break
14:45-16:15 Spatial regression models


Tuesday 28.3.2017

9:00-10:30 Spatial cluster analysis
10:30-10:45 Coffee break
10:45-12:15 Maps with R
12.15-13:00 Lunch
13:00-14:30 Interactive web mapping with R
14:30-14:45 Coffee break
14:45-16:15 Using CSC supercomputers for spatial analysis with R (Seija Sirkiä, Kylli Ek / CSC)