Inhalt des Dokuments
zur Navigation
Advanced Methods for Geospatial Analysis
Students understand advanced concepts and methods for geospatial data processing, analysis, and exploration. They know relevant spatial algorithms and have fundamental knowledge of spatial statistics, spatial data mining as well as pattern anlysis, machine learning and optimization techniques related to spatial data analysis. They can model stochastic concepts of geospatial phenomena and implement them in an object oriented programming environment.
Lectures | Advanced Methods for Geospatial Analysis IV 3633 L 9077 |
---|---|
Module Type | Compulsory elective |
Person in charge | Prof. Dr.-Ing. Martin Kada |
Entry requirements | Successful completion of module FOU Geoinformatics 1. |
Duration | 1 semester |
Examination | Oral Examination |
Workload | Overall attendance: 15 x 4 h = 60 h Preparation and post processing: 15 x 8 h = 120 h |