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Geostatistics 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. Course material: Diggle, P.J. - P.J. Ribeiro Jr. (2007), Model-based Geostatistics (Springer, for wur-participants free pdf available for download, for others book available through PE&RC for € 75,- - limited amount available, first come-first serve).

  • Day 1, morning: Lectures and exercises on spatial variability
  • Day 1, afternoon: Spatial data in R & spatial variability + inventory of topics for Friday morning
  • 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 universal kriging and spatial stochastic simulation
  • Day 3, afternoon: Computer lab on universal kriging and spatial stochastic simulation
  • Day 4, morning: Lecture and exercises on model-based geostatistics
  • Day 4, afternoon: Computer lab model-based geostatistics
  • Day 5, morning: Selected topics
  • 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 non-WUR PE&RC members 50% of the accommodation costs can be reimbursed with a maximum of €30,- per night. 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. Finally, there are a number of groups on Facebook where students announce subrent possibilities and things like that. Examples include: Wageningen Room Subrent, Wageningen Room Sublets, Room Rent Wageningen, and Wageningen Student Plaza. Note that besides the restaurants in Wageningen, there are also options to have dinner on Wageningen Campus.
More information

Claudius van de Vijver (PE&RC)
Phone: +31 (0) 317 485116

Registration of interest

At this moment, this course is not scheduled yet. However, if you register your interest in this activity below, we will inform you as soon as the course is scheduled and registration of participation is opened.