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Spatial Analysis


The overarching aim of the course is that the student should acquire basic knowledge and understanding of the principles behind spatial analysis in different applications within physical geography.

Course content

The course aims to equip students with fundamental theoretical knowledge and practical skills in the methods of spatial analysis.

Topics covered include correlations (relationships) within and between geographical data sets, regression methods, geostatistics, scaling issues affecting spatial analysis and geographic data, and the theory behind spatial decision support systems.

At the end of the course, the student should be able to choose and use an appropriate analytical method for a given problem in spatial analysis.

Course coordinator

Course facts

Level: Advanced
Credits: 7.5 ECTS
Period: Spring, period 1
Language of instruction: English
Prerequisites: General admission requirements and 90 ECTS science subjects of which at least 15 credits GIS, corresponding to NGEA11. Additional requirements include fundamental knowledge of statistics equivalent to NGEA07 or GISN02.

Course syllabus (pdf, 220 kb, new window)

For current students