Geographical Data Analysis | Study Guide, Karelia

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Studies for exchange students and CampusOnline

Geographical Data Analysis (4 cr)

Code: MM10027-3001

General information

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

MMNS22
Forestry 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