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Environmental Modelling using PCRaster

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

Apply now for

20162017

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.

Dates, Fee, ECTS

Start: 25 September 2017
End: 29 September 2017
Deadline IHE application: 25 August 2017 - 23.59 (CET)
Course fee: € 950

Start: 19 September 2016
End: 23 September 2016
Deadline IHE application: 19 August 2016 - 23.59 (CET)
Course fee: € 950

Learning objectives

Upon completion, the participant should be able to:

  1. Understand the Python programming language
  2. Perform spatial analysis using Python and useful libraries
  3. Implement environmental models using the PCRaster Python framework

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

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

Methods

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

Lecturer