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

M.Sc. defense by Michael Wang

M.Sc. defense by Michael Wang

Michael Wang will present his thesis "Comparison of Surface Urban Heat Islands Using the World Settlement Footprint Imperviousness Layer" on Sept. 17th at 10am. From the abstract: "In the growing field of surface urban heat island (SUHI) analysis, impervious surface...

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MSc. presentation by Fowad Ahmed

MSc. presentation by Fowad Ahmed

Fowad Ahmed will present his M.Sc. thesis "Agricultural landscape Configuration and Pattern Analysis with VHR Imagery in Bavaria" on Friday 11th at 11am. from the abstract: "Hedgerows and woody linear features are an integral part of the landscapes where they exist....

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M.Sc. defense by Nina Gnann

M.Sc. defense by Nina Gnann

Nina Gnann will present her M.Sc. thesis "Identification of anthropogenic debris assisted by unmanned aerial vehicles and deep learning” on September 8th 12pm. From the abstract: Due to anthropogenic actions, plastic and other debris are distributed in the environment...

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MSc thesis presentations by Navid Chamani

MSc thesis presentations by Navid Chamani

Navid Chamani is defending his thesis "Investigation on the intra-annual variations of the relationship between Landsat 8-derived LST and spectral indices in west Africa" on September 25th 10am. from the abstract: "Monitoring the variations of the land surface...

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MSc defense by Salim Soltani

MSc defense by Salim Soltani

Selected map of NSR and non_NSR cities from 1990-2019, NSR cities represent the cities located directly on the New Silk Road , and non_NSR cities represent cities located far from( at least 100 Km) the New Silk Road. Salim Soltani will defend his M.Sc. thesis...

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New EAGLEs in 2020

New EAGLEs in 2020

we are finally through all 140 interviews of eligible EAGLE applications. We had again very good and highly suitable candiates and in total 25 applicants passed the interviews and are accepted to the EAGLE program. Our new EAGLEs are from various countries (15...

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Internship presentations

Internship presentations

On Thursday 30th at 10 am the following EAGLE students will present their internships or inno labs: Tobias Gutzmann: 'Aerial Image Analysis for WW2 Warfare Material Detection' at Luftbilddatenbank Henrik Fisser: 'Sentinel-2 Truck Detection - Sensing Trade from Space...

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