Geographical Data AnalysisLaajuus (4 cr)
Code: MM10027
Credits
4 op
Teaching language
- Finnish
Responsible person
- Ari Talkkari
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
Enrollment
01.10.2023 - 31.10.2023
Timing
15.01.2024 - 26.04.2024
Number of ECTS credits allocated
4 op
Mode of delivery
Contact teaching
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
-
MMNS22Forestry Engineer, Full-time Studies, Fall, 2022
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
Evaluation scale
H-5