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TU Berlin

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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.

Advanced Methods for Geospatial Analysis  (6 CP)
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

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