Environmental Modelling using PCRaster

The course gives an introduction to scripting in Python and environmental modelling using the PCRaster Python framework. 

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For whom?

The course is designed for professionals (engineers and scientists) active in the water sector, especially those involved in using simulation models for water management.


It is expected that participants have good computer skills and basic knowledge of GIS.

Dates, Fee, ECTS

Start: 11 October 2021
End: 15 October 2021
Deadline IHE application: 10 September 2021 - 23.59 (CET)
Course fee: € 1000

Start: 26 September 2022
End: 30 September 2022
Deadline IHE application: 25 August 2022 - 23.59 (CET)
Course fee: € 1000

VAT is not included in the course fee

Learning objectives

Upon completion, the participant should be able to:
  1. Use scripting for GIS data processing
  2. Apply Map Algebra using PCRaster Python
  3. Use the PCRaster Python framework for environmental modelling
  4. Use libraries such as NumPy, Panda and Matplotlib

Computer simulation models help us to improve our understanding of processes in the natural and human environment and their interactions. Furthermore, these models can be used to predict future changes. This course will give you an introduction to constructing your own models using the PCRaster Python modelling language. With this modelling language, domain experts can build powerful models of spatial-temporal processes without having in depth knowledge of programming. PCRaster provides the building blocks at the level of understanding of the domain expert. During the lectures you will learn the concept of spatial-temporal GIS-based modelling. During the computer exercises you will develop practical modelling skills using the example models on snowmelt, forest fires and seed dispersal.


It is expected that participants have good computer skills and basic knowledge of GIS.

Course content

  1. Introduction to Python;
  2. Environmental modelling using PCRaster Python.


  • Interactive lectures;
  • Computer exercises with open source -freely available- software only.



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