Post-graduate Course: Uncertainty Propagation in Spatial and Environmental Modelling - 02.09.2010

Time: 13 - 17 December 2010

Location: Wageningen University, The Netherlands.

Description: Input data for spatial and environmental models may have been measured in the field or laboratory, derived from remotely sensed imagery or obtained from expert elicitation. Data are also often digitized, interpolated, classified or generalized prior to submission to a model. In all these cases errors are introduced. Although users may be aware that errors propagate through their models, they rarely pay attention to this problem. However, when the accuracy of the data is insufficient for the intended purpose then this may result in inaccurate model results, wrong conclusions and poor decisions.

Organizer: Wageningen University, The Netherlands.

Aims: The purpose of this course is to familiarize participants with statistical methods to analyse uncertainty propagation in modelling, such that they can apply these methods to their own data and models. Both attribute and positional errors are considered. Attention is also given to the effects of spatial auto- and cross-correlations on the results of an uncertainty propagation analysis and on methods to determine the relative contribution of the individual sources of uncertainty to the accuracy of the final result. The methodology is illustrated with real-world examples.

Registration: register by sending an email to , providing the following information: your name, your email-address, name of the course you want to participate in
status: PhD student // post-doc // else, name of your graduate school, if you are a member of PE&RC, whether you have an approved education plan (TSP): yes // no, name and address of research group (if applicable internal bode number), name of department/Science Group the address to which we can send the invoice for the course fee.

Deadlines: -

Fee: PE&RC/SENSE PhD's with TSP € 300
Other PhD and staff WU € 600
Other participants € 1000

Credits: 1.5 ECTS

Prior knowledge: Basic knowledge of statistics, GIS and spatial modelling

Further information:
Dr. Ir. Gerard Heuvelink
Tel: + 31 (0)317-486538
Email:

Dr. Ir. Sytze de Bruin
Tel: + 31 (0)317-481830
Email:

Dr. C. Van de Vijver
Tel: + 31 (0)317-485116
Email:

Contacts: &