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

textbooks on remote sensing

Our already published textbook on "Remote Sensing and GIS for Ecologists - using Open Source software" was very well perceived and we got very positive feedback. However, either an introduction or more advanced methods and data was asked for as well. Hence, we decided...

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EAGLE summer dialogue 2019

Our next EAGLE summer dialogue to bring together all EAGLE students and lecturer, staff of our department and all colleagues from close and far away is slowly approaching. On June 28th we welcome again everybody to join us for the EAGLE summer event with two keynotes:...

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Internship and MSc presentations

On Thursday, May 23rd, we will have a range of very interesting internship, innovation lab and M.Sc. idea presentations (10 am, OKW 86, room 0.004): Sebastian Buchelt (Internship Presentation): "Assessment of classification algorithms on the example of sea ice - why...

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M.Sc. defense by Julia Sauerbrey

Julia Sauerbrey will defend her M.Sc. "Integration of SAR and Optical Satellite Imagery: Time-Series Analysis of Sentinel-1 and Sentinel-2 Imagery for Detection of Active Morphodynamics: A Case Study in the Atacama Desert, Chile" on Thursday 9th of May at 10am in room...

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check out the news blog by our students

Our EAGLE students are posting various news about their activities, experiences or codes they developed. Read about their past years within the EAGLE program, their participation in international remote sensing conferences or what they achieved within EAGLE courses....

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