The course is designed for professionals (engineers and scientists) active in the water sector, especially those involved in using simulation models for water management.
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.
Upon completion, the participant should be able to:
- Use scripting for GIS data processing
- Apply Map Algebra using PCRaster Python
- Use the PCRaster Python framework for environmental modelling