MAOK4110 GIS
- Number of credits7,5
- Teaching semester2024 Spring
- Language of instructionEnglish
- CampusEvenstad
- Required prerequisite knowledge
None
- Elementary cartography
- Effective communication with a map
- Methods of data collection
- Remote sensing introduction
- Spatial data models: raster and vector
- Sources for spatial data
- Spatial database management
- Data analysis and analytical modelling
- Statistics and research in GIS
- GIS project
Learning Outcome
This course explores in depth Geographic Information Systems (GIS) which is a crucial tool in spatial planning, both in forestry and wildlife management. In combined thematically oriented lecture-seminar sessions the students will learn and immediately apply fundamental principles of GIS. Each lecture-seminar session combines theory and practical application, thus facilitating active learning.
The students will learn about the methodological aspects of spatial data. This include collecting, managing, analysing and presenting of such data. A larger section of the course is devoted to spatial analytical methods and basic introduction to spatial statistics.
By completing this course the candidate will obtain the following learning outcomes:
The student:
- is acquainted with both vector and raster spatial data, its strengths and weaknesses;
- has an in-depth knowledge of spatial data modelling;
- has a profound understanding of cartography and means of effective cartographic communication;
- is able to critically acquire spatial information and be critical of the sources for spatial data.
the student:
- is able to conceive, plan and carry to completion a GIS project;
- is able to plan search, search and get the spatial data from Internet with focus on open-source data;
- is able to apply relevant analytical GIS methods to spatial data in order to solve scientific or management problems.
the student:
- is able to design and carry out management GIS projects;
- is able to think critically regarding data quality and how to communicate with map efficiently;
- is able to reflect over what data model and spatial method are most suitable in a particular situation.
Lectures, work in group and practical exercises. QGIS and R open source software are used as main teaching tools for practical exercises.
| Form of assessment | Grading scale | Grouping | Duration of assessment | Support materials | Proportion | Comment |
|---|---|---|---|---|---|---|
Written assignment | ECTS - A-F | Individual |