GRS-32806 Spatial Data Infrastructure

Vak code vorig jaar: (GRS-21306)


Studiepunten 6.00

Practical extensively supervised34
Practical intensively supervised14
Course coordinator(s)prof. dr. ir. AK Bregt
Lecturer(s)prof. dr. ir. AK Bregt
dr. L Grus
Examiner(s)prof. dr. ir. AK Bregt
dr. ir. RJA van Lammeren

Language of instruction:


Assumed knowledge on:


Continuation courses:

GRS-20306, GRS-20806, GRS-30306


The overall aim of the course is to be acquainted with Spatial Data Infrastructures (SDI). An SDI is a coordinated series of agreements on technology standards, institutional arrangements, and policies that enable the discovery and use of spatial information. Several SDI-aspects will be studied and analyzed, such as: technology, policy, use, standardization, organizational and ethical issues. Anyone who gets involved in setting up or managing a proper GIS related project needs to be familiar with the concepts of spatial data infrastructures.

Learning outcomes:

After successful completion of this course students are expected to be able to:
- apply the main concepts of spatial data infrastructures;
- analyze critically spatial data infrastructures developments from multiple perspectives;
- construct a simple network architecture for publishing, discovering and accessing spatial data;
- evaluate a SDI related topic by writing an article;
- analyse various aspects of spatial data infrastructures in an oral presentation and discussion; - cooperate effectively in a multidisciplinary team.


This course on 'spatial data infrastructures' is partially based on a problem-based learning environment in which students are confronted with series of cases. During this course students' groups will work each week on a specific problem related to a real SDI case. At the end of each week a group will have to prepare a presentation on the case of the week. Different presentation techniques will be used. Apart from group work, students will also have to perform individual assignments such as writing a scientific article and individually presenting a case of the week. The course materials to solve these case-related problems come from several sources: excursions, lectures presented by material experts, exercises within an internet environment, reader and lists of links to informative web sites.


Scientific article written by student (55%), Individual case presentation (15%), Group's case (30%), Exercises


Bregt, A., Crompvoets, J., Introduction to Spatial Data Infrastructures (2006).

Keuze voor: MGIGeo-Information ScienceMSc3WD
MUEUrban Environmental ManagementMSc3WD