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Disturbance Ecology

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/Global Change Ecology M.Sc.

M: Methods

NumberTitleCredit PointsTermCourse no.
M1Introduction to R2 
 Introduction to R (M1)2174047
M2Statistical Data Analysis with R3 
 Statistical Data Analysis with R (M2)3220658
M3Vegetation Science [Details]32 
 Vegetation Science (M3)3224050
M4Foundations of Biogeographical Modelling2 
 Foundations of Biogeographical Modelling (M4)2274051
M5Remote Sensing3 
 Remote Sensing (M5)3174052
M6Time Series Analysis5 
 Time Series Analysis (M6a)2174053
 Time Series Analysis (M6b)3174054
M7Research at the Natural and Social Science Interface11 
 Research at the Natural and Social Science Interface (M7)1174043
M8Ecosystem Services Assessment of Landscapes2 
 Ecosystem Services Assessment of Landscapes (M8)2274057
M9Life Cycle Assessment of Products2 
 Life Cycle Assessment of Products (M9)2174058
M10Scientific Writing in Biogeography and Disturbance Ecology1 
 Scientific Writing (M10)1174059
M11Project Management2 
 Project Management and Scientific Coordination (M11)2174060, 74060
M12Introduction to GIS2 
 Introduction to GIS (M12)2174061
M13Advanced Multivariate Statistical Methods in Climate Research32 
 Advanced Multivariate Statistical Methods (M13a)1274062
 Advanced Multivariate Statistical Methods (M13b)2274063
M14International Environmental Law3 
 International Environmental Law (M14)3200389
M15Science and Communication [Details]3 
 Science and Communication (M15)3274069
M16Modeling Ecosystem Functions with the Soil and Water Assessment Tool (SWAT)3 
 Modelling Ecosystem Functions with the Soil and Water AssessmentTool3228368
M17Academic working methods and skills2 
 Academic working methods and skills (M17)2174071
M18Field Course in Vegetation Science [Details]52 
 Field Course in Vegetation Science (M18)5224075
M19Quantitative Methods51 
 Quantitative Sport Ecology (M19)5157030
M20Methods in Dynamic Vegetation Ecology [Details]52 
 Methods in Dynamic Vegetation Ecology5200763
M21Spatial Statistics and Visualization with R

Exercise, 3 ECTS

Learning Objectives:

Spatial data 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.

 Spatial Statistics and Visualization with R3228123
M22Mathematical Modeling for Climate and Environment (exercise)52 
 Mathematical Modeling for Climate and Environment (exercise)210234 (M22)
M23Dynamic Ecosystem Modeling52 
 Dynamic Ecosystem Modeling220553
M24Disturbance Ecology Field Trip – Europe5 
M25Disturbance Ecology Field Trip – Overseas5 
M26Methodology of Social Sciences32 
 Methodology of Social Sciences274047
-O Overview- -A Environmental Change- -B Ecological Change- -C Societal Change- -M Methods- -F Free Choice- -I Internships- -S International Science Schools- -T Master Thesis-
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