Geographical Data Analysis (4 cr)
Code: MM10027-3002
General information
- Enrollment
- 01.10.2024 - 31.10.2024
- Registration for the implementation has ended.
- Timing
- 13.01.2025 - 25.04.2025
- Implementation has ended.
- Number of ECTS credits allocated
- 4 cr
- Local portion
- 4 cr
- Mode of delivery
- Contact learning
- Unit
- Metsätalousinsinöörikoulutus (MM)
- Campus
- Wärtsilä Campus Karjalankatu 3
- Teaching languages
- Finnish
- Seats
- 20 - 60
- Degree programmes
- Degree Programme in Forestry
- Teachers
- Ari Talkkari
- Teacher in charge
- Ari Talkkari
- Groups
-
MMNS23Forestry Engineer, Full-time Studies, Fall, 2023
- Course
- MM10027
Evaluation scale
H-5
Objective
You understand the principles of geographical data analysis. You can select applicable methods for different purposes. You know the most common geoprocessing techniques and can apply them to vector analysis. You understand the principles of raster analysis. You know the principles of spatial interpolation and can create continuous surfaces from discrete data.
Content
Core content:
- Principles of geographical data analysis
- Geoprosessing of vector data
- Raster analysis
- Spatial interpolation
- Analysis of digital elevation model