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

EAGLE application in 2022

EAGLE application in 2022

We received again more than 200 applicants from all over the world. In total applicants from 42 different countries applied to our international Earth Observation M.Sc. program, covering countries such as Hungary, Morocco, Malaysia, Kenya, Nepal or Columbia. We are...

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EAGLE application deadline 2022

EAGLE application deadline 2022

Our application deadline for 2022 is approaching. If you want to study applied Earth Observation and learn about a variety of remote sensing sensors and methods as well as about fields of applications, submit your application at the latest on May 15th. Accepted...

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MSc defense by Haiyin Ye

MSc defense by Haiyin Ye

On Friday 20th of May at 9am Haiyin will present her M.Sc. thesis "Monitoring Gypsy Moth Outbreak Using Sentinel-1 and Sentinel-2 Data". From the abstract: "Gypsy moth Lymantria dispar (L.) is a serious pest in deciduous forests, the larvae of which can feed on a...

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MSc defense by Sofia Garcia

MSc defense by Sofia Garcia

On Friday, March 11th at 9am Sofia will present her M.Sc. thesis "Estimating socioeconomic variables in Bolivia using satellite-based nighttime light images and electricity consumption data". From the abstract: "The lack of up-to-date data on socio-economic parameters...

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MSc thesis defense by Nestor Gualsaqui

MSc thesis defense by Nestor Gualsaqui

On March 8th at 10:30 Nestor will present his M.Sc. thesis "Pre-crop emergence weed mapping using high satellite imagery". From the abstract: "During the last decades, the growth of the world population has been increasing and weather fluctuations around the world...

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