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

MSc defense Caroline Busse

MSc defense Caroline Busse

On Tuesday 22nd of November at 1pm we will have the MSc thesis defense by Caroline on "Change Detection using Sentinel-1 and Sentinel-2 Time Series: A Comparison of Models for the Detection of Forest Disturbances." from the abstract: "Forests provide essential...

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New EAGLE Earth Observation professors

New EAGLE Earth Observation professors

We are very happy to welcome two new professors within the EAGLE M.Sc. program! Prof. Dr. Hannes Taubenböck and Prof. Dr. Tobias Ullmann will strengthen the urban remote sensing and radar earth observation within the EAGLE program. Various new courses are already...

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MSc defense by Larissa Gorzawski

MSc defense by Larissa Gorzawski

On Wednesday 5th of October at 2pm Larissa will present her M.Sc. thesis "Deep transfer learning on street-level imagery for classification of seismic building types in Lima, Peru". From the abstract: "Comprehensive exposure models for seismic risk assessment require...

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M.Sc. defense by Jakob Rieser

M.Sc. defense by Jakob Rieser

On Monday, 26th of September at 10am, Jakob will present his M.Sc. thesis „A Synergistic Use of Optical and SAR Remote Sensing Data for the Long-term Evolution of Biocrusts and their Activity Across Diverse Dryland Ecosystems”. from the abstract: "Biological soil...

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MSc defense by Christopher Chan

MSc defense by Christopher Chan

Chris will present his M.Sc. thesis "Investigating the capability of UAV imagery in AI-assisted mapping of Refugee Camps in East Africa" on Friday 16th of September at 2pm. From his abstract: " Refugee camps and informal settlements provide accommodation to some of...

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MSc defense by Annika Ludwig

MSc defense by Annika Ludwig

Annika will present her M.Sc. thesis "Analysis of alpine grassland management dynamics based on webcam and optical remote sensing time series" on Friday 9th of September at 9am. From the abstract: "The aim of this study is to detect relationships between environmental...

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EAGLE summer dialogue 2022

EAGLE summer dialogue 2022

After two years we finally had our EAGLE summer dialogue again with many Earth Observation alumni, now working in various research organizations and companies. Great to talk to all our past and present students and also seeing all the students getting to know each...

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