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

M.Sc. defense by Jakob Rieser

M.Sc. defense by Jakob Rieser

On Monday, 26th of September at 10am, Jakob will present his M.Sc. thesis „A Synergistic Use of Optical and SAR Remote Sensing Data for the Long-term Evolution of Biocrusts and their Activity Across Diverse Dryland Ecosystems”. from the abstract: "Biological soil...

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MSc defense by Christopher Chan

MSc defense by Christopher Chan

Chris will present his M.Sc. thesis "Investigating the capability of UAV imagery in AI-assisted mapping of Refugee Camps in East Africa" on Friday 16th of September at 2pm. From his abstract: " Refugee camps and informal settlements provide accommodation to some of...

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MSc defense by Annika Ludwig

MSc defense by Annika Ludwig

Annika will present her M.Sc. thesis "Analysis of alpine grassland management dynamics based on webcam and optical remote sensing time series" on Friday 9th of September at 9am. From the abstract: "The aim of this study is to detect relationships between environmental...

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EAGLE summer dialogue 2022

EAGLE summer dialogue 2022

After two years we finally had our EAGLE summer dialogue again with many Earth Observation alumni, now working in various research organizations and companies. Great to talk to all our past and present students and also seeing all the students getting to know each...

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MSc defense by Antonio Castaneda

MSc defense by Antonio Castaneda

On Friday, 1st of July at 9am Antonio will present his M.Sc. thesis "Potential and limits of using UAS in forest monitoring". From the abstract: "The exponential development, usage, and application of uncrewed area systems (UAS) have given remote scientists a clear...

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EAGLE application in 2022

EAGLE application in 2022

We received again more than 200 applicants from all over the world. In total applicants from 42 different countries applied to our international Earth Observation M.Sc. program, covering countries such as Hungary, Morocco, Malaysia, Kenya, Nepal or Columbia. We are...

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