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

inno lab and MSc idea presentation

inno lab and MSc idea presentation

Next Tuesday, April 27th, at 10am the following EAGLE students will present their Innovation Laboratory work and their MSc thesis idea: Sandro Groth: "PortalAdminTools: A Python-based programming interface for Esri Enterprise infrastructures" (InnoLab with ESRI)Sandro...

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internship and MSc idea presentation

internship and MSc idea presentation

on Tuesday April 6th 3pm we will have the folling internship and MSc idea presentations: Joy-Giovanni Matabishi, " MESMA of DESIS data to identify Rooftops in Kigali"- Internship/EKUT Luisa Pflumm, "Comparison of the performance of different accessibility layers for...

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internship presentations

internship presentations

On Monday March 1st at 10am the following internships will be presented:  Marius Witt, Baby it's cold outside - Interning at DLRs Polar Team, internship at DLR. Jakob Wachter, Potential use cases of a self established database for social media data, internship at...

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MSc thesis defense by Patrick Sogno

MSc thesis defense by Patrick Sogno

On Monday, 25th of January at 10 a.m., Patrick Sogno will present his M.Sc. thesis "Earth Observation for Exposome Mapping – Proof of Concept and Case Study in Augsburg, Germany". from the abstract: "Non-communicable diseases – NCDs – (asthma, cancer, or diabetes, for...

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internship, inno lab and MSc idea

internship, inno lab and MSc idea

On Monday 21st of December at 10am we will have the following presentations:   Camilo (Internship)"Forest cover change between 2000 and 2020 in El Chaco ecoregion, Paraguay" at DLR Johannes Mast (Thesis Idea):"Measuring Urban Polycentricity using Remote Sensing"...

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