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
Software
Techniques
Content
General Course News and Updates
EAGLE Internship Presentation ” Research and development of data strategies for disaster management, early warning systems, and refugee data analysis”
On January 07, 2025, Sarah Schneider will present her internship " Research and development of data strategies for disaster management, early warning systems, and refugee data analysis" at 14:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: The...
Master Thesis Presentation “Animal Path Segmentation and Analysis via Deep Neural Network Regression”
On January 14, 2025, Konstantin Müller will defend his master thesis " Animal Path Segmentation and Analysis via Deep Neural Network Regression " at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: Animals play a vital role for well-functioning...
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...
Internship Presentation: Application of synthetic aperture radar (SAR) data: Case study in flood mapping in Costa Rica and technical capacity building of the PRIAS team
On December 17, 2024, Ariana Sofía Argüello Cordero will present her internship " Application of synthetic aperture radar (SAR) data: Case study in flood mapping in Costa Rica and technical capacity building of the PRIAS team" at 12:00 in seminar room 3,...
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...
Master Defense by Isabella Metz: ” Analysis of Uncertainties for Error Detection and Quantification of Bathymetry Data from Multispectral Sentinel-2 Imagery
On January 07, 2025, Isabella Metz will defend her master thesis on " Analysis of Uncertainties for Error Detection and Quantification of Bathymetry Data from Multispectral Sentinel-2 Imagery" at 13:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: In...
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...
EAGLE internship at CIAT in Colombia
Leonie, an 8th generation EAGLE, is currently doing her internship at CIAT (International Center of Tropical Agriculture) in South America, Colombia. She is part of the Multifuncional Landscapes group, which investigates about soil organic carbon sequestration in...
Blender GIS introduction
Within out EAGLE Earth Observation M.Sc. we also cover software applications which might not be used on a regular basis within our field of research but are sometimes highly useful to display our spatial data in a visually appealing way - and also potentially provides...
EAGLE presentation by Gökçe Yağmur Budak
On November 26, 2024, Gökçe Yağmur Budak will present her internship results on " Leveraging Data-Driven Approaches for Seismic Risk Assessment in Istanbul " at 12:30 in seminar room 3, John-Skilton-Str. 4a. From the abstract: This internship aims to create time...