Course objectives

The student will be able to:

• Have an overview of simple and advanced spatial data models and understand which model serves which purpose.
• Be proficient in elementary (query) spatial data operators, in both raster and vector domain.
• Understand and be able to set up and carry out spatial computations.
• Understand the principles of spatiotemporal modelling in GIS.
• Understand, and to some extend apply, the principles of spatial planning support.
• Understand how geodata can be made public using visualization technology developed for the Internet.
• Have specialized themselves in one of the offered in-depth study topics.

Content

Two phases: a breadth-first phase, and an in-depth phase.

The breadth-first phase covers in principle five components:

1. Simple and advanced geodata models.
2. Geodatabases and their design and use.
3. Geostatistical models for inter- and extrapolation, feature extraction, uncertainty and error propagation.
4. Remote sensing interpretation.
5. Dissemination and visualization tools of geodata.

The in-depth phase will build on one of the breadth-first topics.

Type of education This distance learning module will include: writing a report literature study Assessment written examination final project assignment

Literature

Announced in the description of this course module.

Entry requirements

Letter of acceptance of the master programme Geographical Information Management and Applications and passed modules GEO-GIMA 1 and GEO-GIMA 2.