Advances methods and techniques
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:
- Simple and advanced geodata models.
- Geodatabases and their design and use.
- Geostatistical models for inter- and extrapolation, feature extraction, uncertainty and error propagation.
- Remote sensing interpretation.
- Dissemination and visualization tools of geodata.
The in-depth phase will build on one of the breadth-first topics.
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Type of education This distance learning module will include:
Assessment
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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.