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
Sebastian Buchelt successfully presented his MSc thesis
Sebastian Buchelt successfully presented his MSc thesis - congratulations! Read more about his research project here.
MSc defense by Sebastian Buchelt
Sebastian Buchelt will present his M.Sc. thesis "Analysis of High-Resolution Spatio-Temporal Patterns of Snowmelt using Orthorectified Photo Cameras, Sentinel-1 Time Series and Digital Elevation Data" in a virtual course room. From the abstract: " Snow is one of the...
Successful virtual MSc defense by Silvan Steiner
Congratulation to Silvan Steiner, our first EAGLE passing with a virtual MSc defense!
MSc defense by Silvan Steiner
On Thursday at 10am Silvan Steiner will present his M.Sc. thesis "Assessing the Potential of a Land Cover Dependent Snow Cover Detection Algorithm for the Global SnowPack". Due to the Covid19 situation his defense will be in a virtual course room. Everybody is invited...
Covid-19 situation and EAGLE
The Covid-19 situation is also challenging for the University as well as the EAGLE program. Even though we are all in the process to adapt to this new situation, the program itself is continuing as usual. All courses, exams, MSc thesis defense and so on will take...
new book by our lecturer “Intro to Spatial Data Analysis”
The upcoming book by our lecturer Jakob Schwalb-Willmann, Stefan Dech and Martin Wegmann on "Introduction to Spatial Data Analysis" with QGIS and first steps in R is available for pre-order - order now and get 30% discount. This textbook aims at students and...
M.Sc. defense by Benjamin Lee
Benjamin will defend his M.Sc. thesis " DEVELOPMENT OF A SEMI-ANALYTICAL MODEL FOR SEAGRASS MAPPING USING CLOUD-BASED COMPUTING AND OPEN SOURCED OPTICAL SATELLITE DATA" on Friday March 6th 10 am in room 1.009 OKW 86. from the abstract: "Seagrasses provide USD$2.28...
Anna Orthofer successfully presented her M.Sc. thesis
Anna Orthofer presented last Friday her M.Sc. thesis "Deriving Leaf Area Index and mowing dates for grasslands based on the radiative transfer model SLC and Sentinel 2 data" successfully and is our first EAGLE M.Sc. graduate in 2020. Congratulations!
EAGLE wall of fame – our graduates
All our graduated EAGLE students are shown on our wall-of-fame. Great way to see who studied when and what was the topic about. Some of them are already doing their PhD with us or other research organizations and two of these graduates just founded their own remote...
internship presentation by Henrik Fisser and Ronja Lappe
On Friday 24th of January at 10 am in room 1.009 OKW 86 the following two internship presentation will take place: Henrik Fisser: "Into the Uncertain - Noise Quantification of Sentinel-2 Water Signal in Dependence of Atmospheric Correction Methods"and some details...