Spatial Modeling and Prediction
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.
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 examples and individual project work
Various software programs will be used, but mainly OpenSource software such as R and GRASS.
Different techniques will be introduced and practically applied such as randomForest, GAM or MaxEnt
The theory and practice of spatial modeling with a focus on ecology and conservation
General Course News and Updates
While the "old" EAGLEs are spending their 3rd term doing internships or innovation laboratories in Italy, Portugal, Poland or Burkina Faso at various research organizations or companies, the new EAGLEs for the winter term 2017/2018 will be welcomed next week. The...read more
The EAGLE course "Remote Sensing in Biodiversity and Conservation Science" took place in the last week of the summer term at the field research station in Fabrik Schleichach, Steigerwald. 20 biology and EAGLE students worked and lived together for one week and...read more
Our EAGLE students had to present their work as posters, reports or oral presentations at the end of the summer term and could show impressive achievements and results of small research projects.Some impressions of their oral and poster presentations can...read more
Beside participants from the University of Wuerzburg and the DLR, also many colleagues from companies and a variety of national and international research institutions joined this event. The midsummer dialogue was organized by the EAGLE students. The students were...read more
The course on UAV application for Remote Sensing started successfully. The weather was good enough to do some first flights. In the next weeks and months more flights will be undertaken and data collected for different fields sites in order to gain more information...read more
The application deadline for the upcoming winter term is approaching. Apply within the next 7 days here: http://eagle-science.org/apply - application deadline is May 15th, further details about needed documents are listed on the application page. Learn within EAGLE...read more
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...read more