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Faculty of Biology, Chemistry and Earth Sciences

Graduate Program (M.Sc.) - Global Change Ecology

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Exercise course: Spatial Statistics and Visualization with R (GCE:M21) (28123)

SS 2024
Tu.: 16:00-18:00, FAN B, 1.01 / PC-Pool

Sebastian Candiago, N.N.

Exercise, 3 ECTS

Starting date: 16 April 2024

Room: Fan B, 1.01 (PC-Pool)

Learning Objectives: Spatial data often require specific methods of analysis. The aim of this exercise is the development of skills in dealing with different types of spatial datasets. The focus is on learning statistical methods for the analysis of spatial patterns.

Course Content: Different methodological approaches will be presented and  practically implemented with the statistical software R. An exemplary selection of covered topics are: Visualization of spatial data, spatial point pattern analysis, variograms, and the modeling of areal data using SAR and CAR models.

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