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
application deadline for winter term 2017 is approaching
Applications for the EAGLE M.Sc. program are accepted until May 15th 2017 for the next winter term. The next application deadline will be only next year, again on May 15th 2018. You need the following documents for your application: a cover letter stating your...
news coverage of one of our students in the University press
One of our students, Pilar Endara, was interviewed by the news team of the University of Würzburg. She talked about her background, the reasons why she studied in Germany, her experiences and her plans for the future. Moreover her reasons why she studies EAGLE and her...
testing UAV and D-GPS application in the Steigerwald
one of our field sites in the Steigerwald For several upcoming EAGLE courses we visited potential field sites and tested our equipment. During this first field work of the year our UAV and D-GPS data collection were tested in the Steigerwald at the research station of...
M.Sc. handed in on animal movement and remote sensing
The M.Sc. thesis “Can animal movement and remote sensing data help to improve conservation efforts?” by Matthias Biber M.Sc. student within the Global Change Ecology program handed in his thesis. He explored the potential of remote sensing data to explain animal...
MSc topic on wetland modeling
M.Sc thesis (+ a two-month internship): Agent-based modeling to understand Mediterranean wetland (former saltworks) dynamic based on multiple remote sensing data The Camargue’s former saltworks is a 6500-ha site located at the Mediterranean coast in southern France....
EAGLE students webpage is now online
Our EAGLE students setup their own webpage at http://students.eagle-science.org! Read about their background, motivation and expectations concerning the EAGLE M.Sc. study program. Moreover, the EAGLE students will post news about ongoing social as well as scientific...
EAGLE is part of the Copernicus Academy Network
We are happy to receive the notification that the EAGLE training program is endorsed by the Copernicus Academy Network. This network aims to foster the use and benefits of Copernicus. The EAGLE program applied within the DLR and University Wuerzburg network to be part...
EAGLE students visit DLR-EOC
Our EAGLE 2016 students visited the DLR-EOC last Friday and got a very good overview of the work done by the scientists at DLR. Many different topics were covered and nearly all applications of applied earth observation research done at DLR-EOC were presented. ...
M.Sc. started on monitoring protected areas
Henrike Schulte to Bühne started her M.Sc. „Quantifying landcover change using remote sensing data in a transboundary protected area“ in cooperation with the Zoological Society of London, Dr. Nathalie Pettorelli within the Global Change Ecology study program. Her...
M.Sc. thesis on animal movement interactions and the environment
Joe Premier submitted his M.Sc. thesis on “The Lynx Effect: Behaviour of Roe Deer in the Presence of Lynx in a European Forest Ecosystem” within the Global Change Ecology M.Sc. program. He was co-supervised by Marco Heurich from the Bavarian Forest Nationalpark....