Understanding Mobility Patterns through GPS Data

dc.contributor.advisorGoel, Rahul, juhendaja
dc.contributor.advisorAasa, Anto, juhendaja
dc.contributor.advisorSharma, Rajesh, juhendaja
dc.contributor.authorSemilarski, Emma Belinda
dc.contributor.otherTartu Ülikool. Loodus- ja täppisteaduste valdkondet
dc.contributor.otherTartu Ülikool. Arvutiteaduse instituutet
dc.date.accessioned2023-10-24T11:36:19Z
dc.date.available2023-10-24T11:36:19Z
dc.date.issued2023
dc.description.abstractThe Global Positioning System (GPS) has enabled to collect locational data from humans. One way to use GPS data is for exploring mobility patterns. The aim of this bachelor thesis is to unravel the mobility patterns and identify points of interest to gain more insight of spatiotemporal patterns of humans in Tartumaa. To achieve this, we use exploratory analysis techniques such as data preprocessing, visualisation, and statistical tests. Outcomes of this thesis describe the temporal and spatial patterns of people moving in Tartu and the surrounding area, and identify the most visited places from the data. The findings have the potential to contribute to the field of human mobility analysis and can be useful for city officials and policy makers in developing efficient urban planning strategies.et
dc.identifier.urihttps://hdl.handle.net/10062/93709
dc.language.isoenget
dc.publisherTartu Ülikoolet
dc.rightsopenAccesset
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectGPS dataet
dc.subjectMobility patternset
dc.subjectEstoniaet
dc.subjectDescriptive analysiset
dc.subjectData analyticset
dc.subject.otherbakalaureusetöödet
dc.subject.otherinformaatikaet
dc.subject.otherinfotehnoloogiaet
dc.subject.otherinformaticset
dc.subject.otherinfotechnologyet
dc.titleUnderstanding Mobility Patterns through GPS Dataet
dc.typeThesiset

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