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
w

Content

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

General Course News and Updates

EAGLE Daria did her internship in Bergen

EAGLE Daria did her internship in Bergen

Our EAGLE student Daria recently wrapped up an internship at the University of Bergen in the Remote Sensing research group. With the support of her supervisor, Dr. Benjamin Abreu Robson, she got to work on the Jostedalsbreen glacier using drone and satellite data. Her...

read more
Orfeo Toolbox covered in our courses

Orfeo Toolbox covered in our courses

As part of our international EAGLE MSc courses, we include comprehensive training on the powerful Orfeo Toolbox (OTB) software. OTB is an open-source library for processing remote sensing imagery, offering advanced algorithms for tasks such as image segmentation,...

read more
Internship network fair

Internship network fair

Today, we provided our international Eagle MSc students with access to the professional network of our EORC to assist them in finding suitable internships or MSc thesis topics. Several individuals offered their networks, including Hannes Taubenboeck for georisk and...

read more
GRASS software for Earth Observation

GRASS software for Earth Observation

In our international EAGLE MSc program, we go beyond the limitations of a single programming language or software environment. Our goal is to empower students to leverage a wide range of scientific tools effectively. They gain insight into the strengths and...

read more
EAGLES rock(et) the World Space Forum 2024

EAGLES rock(et) the World Space Forum 2024

Laura - 8th gen EAGLE and in the last week of her internship at UN-SPIDER - and Sunniva - 7th gen EAGLE and working as a student assistant at the DLR's space agency - together happen to help organize the World Space Forum (WSF) 2024 in Bonn. Surrounded by...

read more