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5 - 9 February 2018


geostatistics-wordcloudGeostatistics is concerned with the analysis and modelling of spatial variability. It also addresses how quantified spatial variability can be used in optimal spatial interpolation and spatial stochastic simulation. Fields of application include hydrology, soil science, ecology, geology, agriculture, and forestry. This course aims to provide PhD candidates with a solid background in standard and more advanced geostatistical methods, such that they can apply these in their own research. The course is a mix of theory and practice, with case studies that are analysed using R and contributed geostatistical packages. The course material is a selection of journal papers and book chapters, which will be made available at the start of the course.

  • Day 1, morning: Lectures and exercises on spatial variability
  • Day 1, afternoon: Spatial data in R & spatial variability
  • Day 2, morning: Lectures and exercises on kriging (ordinary kriging, indicator kriging, block kriging, area to point kriging)
  • Day 2, afternoon: Computer lab on kriging
  • Day 3, morning: Lectures and exercises on regression kriging and spatial stochastic simulation
  • Day 3, afternoon: Computer lab on regression kriging and spatial stochastic simulation
  • Day 4, morning: Lecture and exercises on space-time kriging
  • Day 4, afternoon: Computer lab on space-time kriging
  • Day 5, morning: Lecture and computer lab on generalised linear spatial models
  • Day 5, afternoon: Course evaluation + Sampling design contest + drinks and snacks
Useful links
General information
Target Group The course is aimed at PhD candidates, postdocs, and other academics that are interested in statistical modelling of spatially distributed variables
Group Size Min. 15 / Max. 25 participants
Course duration 5 days
Language of instruction English
Frequency of recurrence Once every two years (Winter)
Number of credits 1.5 ECTS
Lecturers Gerard Heuvelink (Soil Geography and Landscape, Wageningen University) and Sytze de Bruin (Laboratory of Geo-information Science and Remote Sensing, Wageningen University)
Prior knowledge Participants are expected to have a good knowledge of basic statistics. Participants without knowledge of the R language are encouraged to click here to study this introduction to R.
Location Wageningen University Campus
Options for accommodation Accommodation is not included in the fee of the course, but there are several possibilities in Wageningen. For information on B&B's and hotels in Wageningen please visit Another option is Short Stay Wageningen. Furthermore Airbnb offers several rooms in the area. Note that besides the restaurants in Wageningen, there are also options to have dinner at Wageningen Campus.


Fees 1
PE&RC / SENSE / WASS PhD candidates with an approved TSP €   350,- €   400,-
a) All other PhD candidates
b) Postdocs and staff of the above mentioned Graduate Schools
€   740,- €   790,-
All others € 1.090,- € 1.140,-

1 The course fee includes a reader, coffee/tea, lunches, and 1 course dinner. It does not include accommodation (NB: options for accommodation are given above)
2 The Early-Bird Fee applies to anyone who REGISTERS ON OR BEFORE 8 JANUARY 2018


  • If you need an invoice to complete your payment, please send an email to, including ALL relevant details that should be mentioned on the invoice (e.g., purchase order no., specific addresses, attendees, etc.).
  • The Early-Bird policy is such that the moment of REGISTRATION (and not payment) is leading for determining the fee that applies to you.
  • Please make sure that your payment is arranged within two weeks after your registration.
  • It is the participant's responsibility to make sure that he/she (or his/her secretary) completes the payment correctly and in time.
PE&RC Cancellation Conditions
  • Up to 4 (four) weeks prior to the start of the course, cancellation is free of charge.
  • Up to 2 (two) weeks prior to the start of the course, a fee of € 350,- will be charged.
  • In case of cancellation within two weeks prior to the start of the course, a fee of € 740,- will be charged.
  • If you do not show at all, a fee of € 1090,- will nevertheless be charged.

Note: If you would like to cancel your registration, ALWAYS inform us and do not assume that by NOT paying the participation fee, your registration is automatically cancelled, because it isn't (and do note that you will be kept to the cancellation conditions).

More information

Dr. Gerard Heuvelink
Phone: +31 (0) 317 482716

Dr. Sytze de Bruin
Phone: +31 (0) 317 481830

Dr. Lennart Suselbeek (PE&RC)
Phone: +31 (0) 317 485426


To register, please enter your details below and click "Register".