Spatial Modeling and Prediction

04-GEO-MET1

Lecturer

Martin Wegmann

ECTS

5 ECTS

 

Aim:

Within this course different methods to analyse point pattern statistically and conduct a spatial prediction are covered. Students will learn how to design such analysis, how to avoid caveats, troubleshoot errors and interpret the results.

 

Content

Different statistical methods will be applied for analysing spatial point patterns, such as vegetation samples or biodiversity related information. These results will be statistically predicted using methods such as GLM, GAM, Random Forest or MaxEnt. Implications of spatial point patterns as well as chosen environmental parameters will be discussed. All methods will be practically applied during the course using the programming language R. The needed pre-requisites are covered in the course “Applied Programming for Remote Sensing and GIS“.

 

Coding

Coding examples and individual project work

Software

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

Techniques

Different techniques will be introduced and practically applied such as randomForest, GAM or MaxEnt

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Content

The theory and practice of spatial modeling with a focus on ecology and conservation

General Course News and Updates

Covid-19 situation and EAGLE

Covid-19 situation and EAGLE

The Covid-19 situation is also challenging for the University as well as the EAGLE program. Even though we are all in the process to adapt to this new situation, the program itself is continuing as usual. All courses, exams, MSc thesis defense and so on will take...

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M.Sc. defense by Benjamin Lee

M.Sc. defense by Benjamin Lee

Benjamin will defend his M.Sc. thesis " DEVELOPMENT OF A SEMI-ANALYTICAL MODEL FOR SEAGRASS MAPPING USING CLOUD-BASED COMPUTING AND OPEN SOURCED OPTICAL SATELLITE DATA" on Friday March 6th 10 am in room 1.009 OKW 86. from the abstract: "Seagrasses provide USD$2.28...

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EAGLE wall of fame – our graduates

EAGLE wall of fame – our graduates

All our graduated EAGLE students are shown on our wall-of-fame. Great way to see who studied when and what was the topic about. Some of them are already doing their PhD with us or other research organizations and two of these graduates just founded their own remote...

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M.Sc. defense by Anna Orthofer

M.Sc. defense by Anna Orthofer

Anna Orthofer will present her M.Sc. thesis on Friday 7th of February at 10 am in room 1.009 OKW 86. Her M.Sc. was about "Deriving Leaf Area Index and mowing dates for grasslands based on the radiative transfer model SLC and Sentinel 2 data." More details from the...

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M.Sc. idea presentation by Felix Glasmann

M.Sc. idea presentation by Felix Glasmann

Felix Glasmann is presenting on Friday, 13th of December at 10am in room 1.009 OKW 86, his M.Sc. idea "Potential of the Firebird Mission for the Detection of Gas-flaring Activity". In times of worldwide phenomena like ‘Fridays for Future’ or ‘Extinction Rebellion’ it...

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