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

Internship Networking event

Internship Networking event

Our EAGLEs have to conduct two internship and like to do them in quite diverse fields. Their research interests range from dry ecosystems to mountains, from conservation to agriculture, from the Arctic to Africa and from Earth Observation companies to large research...

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UAS application in a biosphere reserve

UAS application in a biosphere reserve

Our EAGLE Helena Wehner presented her work in the Rhoen biosphere reserve where she tested the potential of low cost consumer drones for conservation.  She aimed at mapping animal tracks using photogrammetry approaches in snowy landscapes. The structure through...

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Online RStoolbox bug code sprint

Online RStoolbox bug code sprint

Our new maintainer, konstantin Mueller, one of our EAGLE students, migrated the remote sensing R package to sf, terra/stars and got it back onto cran. However, as usual various bugs are still around and during our eagle remote sensing programming lecture the youngest...

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EAGLEs learn SNAP

EAGLEs learn SNAP

Various very specific scientific software packages are developed to serve specific purposes like the SNAP tools for Sentinel fleet data processing. Our EAGLEs have to learn the wealth of relevant software packages for our field of research and get to know the pros and...

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our EAGLEs train SAGA GIS

our EAGLEs train SAGA GIS

Within our EAGLE MSc program our students are learning quite a variety of programming environments and software programs, however due to the high diversity of available (open-source) programs our students have to apply their spatial research skills to learn a totally...

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EAGLE students train scientific presentations

EAGLE students train scientific presentations

Within our scientific presentation course within the EAGLE Msc our students also have to learn how deliver good scientific presentation within a large lecture room and for a larger crowd of scientists. Therefore we expose them to the large number of bsc students...

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