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Der krönende Abschluss eines UNIGIS MSc Studiums ist sicherlich die Master Thesis. Mit ihr belegen unsere MSc-AbsolventInnen, dass sie den akademischen Grad "Master of Science (Geographical Information Science & Systems)" zu Recht führen.  Im UNIGIS professional Studiengang muss keine Abschlussarbeit verfasst werden. Dennoch nehmen einige Studierende die Möglichkeit war, ein Geoinformatikprojekt durchzuführen und entsprechend zu dokumentieren.

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Hier finden sie die mitunter preisgekrönten Abschlussarbeiten unserer AbsolventInnen!

Johannes Kapser [10-2012]:

Modelling of Continuous Fields: Coverage Mapping Based on Dynamic In-situ WLAN Measurements

Diese Arbeit ist online verfügbar: Download


In literature (Honkavirta, Perala, Ali-Loytty & Piche 2009), (Parodi, Lenz, Szabo, Hui, Horn, Bamberger & Obradovic 2006), (Li, Wang, Lee, Dempster & Rizos 2005) and (Sen, Gümüsay, Kavas & Bulucu 2008) lots of different approaches have been applied for modelling of electro- magnetic field maps, for the purpose of WLAN (Wireless Local Area Network) positioning. However, none of them considers coverage mapping based on dynamic WLAN measurements, taking surrounding mobile objects’ positions into account. This research introduces a method for reference measurement identification, out of dynamic field measurements, enabled by spatio- temporal filter strategies. Furthermore, it proposes a spatial database model for processing and storage of electro-magnetic field maps. This is done by revision of theoretical concepts and methods on wireless network positioning systems and field modelling approaches. Available data sources of static and dynamic character- istic will be evaluated, modelled and analysed. On these groundwork of data, parametric and probabilistic field modelling approaches have been implemented and qualified against a mea- surement reference track. Thereby, it has turned out that Ordinary Kriging is best suitable for electro-magnetic field modelling. The findings of this research constitutes an excellent basis for spatio-temporal field modelling.


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