Spatial Modeling and Prediction

04-GEO-MET1

Lecturer

Martin Wegmann

ECTS

5 ECTS

 

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

Coding examples and individual project work

Software

Various software programs will be used, but mainly OpenSource software such as R and GRASS.

Techniques

Different techniques will be introduced and practically applied such as randomForest, GAM or MaxEnt

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Content

The theory and practice of spatial modeling with a focus on ecology and conservation

General Course News and Updates

EAGLEs at DLR EOC

EAGLEs at DLR EOC

Our 2019 EAGLEs visited the DLR-EOC and learned a lot about current earth observation research at DLR. Many talks as well as discussions with PhD, Postdocs and teamleaders were organized by Prof. Claudia Kuenzer, head of the landsurface department and professor in...

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Short Presentation on UAV and LiDAR

Short Presentation on UAV and LiDAR

This Friday at 12am we will have two brief presentations by colleagues from the Max-Planck-Insitute and University Göttingen in room 1.009 OKW 86, right after the student presentations: Dr. Anne Scharf (MPI-AB) "The need for a closer look: how drones could fill in the...

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M.Sc. defense by Marius Philipp on Nov. 22nd

M.Sc. defense by Marius Philipp on Nov. 22nd

Marius Philipp is going to defend his M.Sc. thesis on November 22nd at 10 am in room 1.009 (OKW86). The title of his thesis is "Potential of harmonic analysis using remote sensing data for studying the effects of climate change induced weather extreme events on forest...

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Welcome of the 2019 EAGLEs

Welcome of the 2019 EAGLEs

On Monday, 14th of October, at 4 p.m., we will again welcome a new generation of EAGLEs (Z6, 01.002). After the official welcome and some introductory presentations, we will also introduce the lecturer and provide first details about the upcoming semester(s)....

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M.Sc. presentation by Johni Miah

M.Sc. presentation by Johni Miah

Johni Miah will present his M.Sc. thesis " Detecting and Assessing Ground Subsidence of Dhaka City, Bangladesh, Using Synthetic Aperture Radar Data of Sentinel-1" on September 30th at 2pm in OKW 86. From the abstract: " The identification and measurement of ground...

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