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 Summer Dialogue 2019
Our 2019 EAGLE Summer Dialogue was a great success again and thanks a lot to all our EAGLE students who organised it. More than 100 participants enjoyed talks by Sandra Lohberger (RSS GmbH) and Alfred Schumm (WWF) who covered beside the technical aspects of their work...
Field Work Course 2019
Within the EAGLE program many Earth Observation applications and techniques are introduced and practically executed with quite some computer work. However, remote sensing research also requires a sound understanding of the study area. Field work is therefore a crucial...
Internship and Innovation Lab presentations
on Monday 15th of July at 10 a.m. in room 0.009 (OKW 86) we will have another series of internship and innovation lab presentations plus on M.Sc. idea presentation: (Internship) Marius Philipp -- "Mono Delta Monitoring System (MODES)" (Internship) Silvan...
Innovation Lab and thesis presentation
On Thursday 27th of June at 10am in room 0.004 (OKW 86) the following students will present their M.Sc. idea and their innovation lab outcome: Thesis idea presentation by Johni Miah:"Detecting and Assessing Ground Subsidence of Dhaka City, Bangladesh, using Synthetic...
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...
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:...
Julia Sauerbrey successful M.Sc. defense
Congratulations to Julia Sauerbrey who successfully presented her M.Sc. thesis. Read more about her interesting research project.
application deadline 2019 is approaching
Application deadline for the winter term 2019 is approaching
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...
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...