Environmental Modelling using PCRaster
This course will be offered in an online format due to Covid-19 restrictions. The course's duration, content and learning objectives will remain unchanged, while the course fee is lower. You can contact the course coordinator for more information about the new -temporary- format of the course.
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.
Prerequisites
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
- Use scripting for GIS data processing
- Apply Map Algebra using PCRaster Python
- Use the PCRaster Python framework for environmental modelling
- 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.
Prerequisites
It is expected that participants have good computer skills and basic knowledge of GIS.
Course content
- Introduction to Python;
- Environmental modelling using PCRaster Python.
Methods
- Interactive lectures;
- Computer exercises with open source -freely available- software only.
Lecturer
- Hans van der Kwast (IHE Delft)