Programming and Geostatistical Analysis

04-GEO-MB2

Lecturer

Martin Wegmann

ECTS

5 ECTS

 

Aim

Programming and geostatistics for environmental data analysis will be introduced. Advantages of coding approaches are discussed, theory of coding and statistics covered and practical examples provided.

 

Content

Theoretical basics and practical examples of programming and geostatistics focused on application within remote sensing and GIS are covered. Basic functionality such as script structure, implementation, functions, loops as well as programming syntax using the R language are introduced. Moreover, statistical basics related to environmental analysis are covered ranging from spatial queries to spatial models, e.g. classification and regression.

 

Coding

Coding examples and individual work will be covered

Software

Various software programs will be used, but mainly OpenSource software such as R.

Techniques

Different techniques will be introduced and practically applied.

w

Content

The background and application of programming and statistics will be covered.

General Course News and Updates

Master Defense: Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria

Master Defense: Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria

On September 18, Sarah Schneider will present her master thesis "Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria" at 14:00 in...

read more