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
Karsten Wiertz will present his M.Sc. thesis on Wednesday 14th at 11am in room 0.004 KW 86 with the title "Development of a semi-automatic remote sensing approach for change- detection of forest structures in Bialowieza Forest." From the abstract: The diversity of...read more
Sebastian Roersch will defend his thesis "Development of a semi-automated method to measure solar potential" next Wednesday (14th) at 10 am in 0.004 OKW 86. From his abstract: "In the second half of the 21st century, it will be decided how big the impact of climate...read more
Marina Reiter will present her M.Sc. thesis "Comparing Urban Green Spaces in German Cities Using Remote Sensing Data" on Thursday 8th of August at 11am in OKW 86, 0.004. Looking forward to a great presentation and lively discussion afterwards. From her abstract: "The...read more
A wide range of internships, innovation labs and M.Sc. idea presentations will take place next Monday (July 29th) in room 0.004, OKW 86. Everybody is invited to join the presentations and discussions: Morning session (10am - 12pm): Katrin Hasenbein (internship)...read more
Bharath Selvaraj will defend his M.Sc. thesis on August 8th at 10am in room 0.004. From the abstract of his thesis: "Over the centuries, humanity made immeasurable progress in both technological innovation and medicine. This progress comes at the cost of environmental...read more
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...read more
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...read more
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...read more
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...read more
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...read more