Stochastic Modelling

Aim

To provide a theoretical and practical basis for stochastic modelling of spatio-temporal processes.

Audience

Persons whishing to learn how to address uncertainty in environmental modeling.

Description

This course introduces the modeling of uncertain spatio-temporal processes. The course gives an introduction into the characteristics of stochastic variables and  how these can be used to represent uncertain model inputs and parameter. Modellers will learn how to assess stochastic models using Monte Carlo simulations and statistics. The Map Algebra course and the Dynamic Modelling course are a prerequisite.

Tutors

• Dr. Derek Karssenberg, Utrecht University. Environmental modelling specialist.

• Drs. Kor de Jong, Utrecht University. Developer of the PCRaster package.

• Dr. Oliver Schmitz, Utrecht University. Developer of the PCRaster package.