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Studying settlement systems with mobile positioning data
 Šimbera, Jan ; Hudeček, Tomáš (advisor) ; Burian, Jaroslav (referee) ; Šveda, Martin (referee)
Settlement systems, the large-scale manifestation of the spatial organization of human society, are the frequent object of human geography studies. Mobile positioning data have been used in recent decades as a unique source on human activities in space, but robust methodologies to generate datasets from them that would be comparable in accuracy to conventional sources such as census data or travel diaries have still been lacking. This thesis aims to bridge the gap by describing in detail how to generate population distribution and commuting datasets from mobile positioning sources with the mentioned accuracy using ma- chine learning and ancillary geospatial data, including proper treatment of data privacy and artifacts inherent to mobile positioning, and to illustrate their ca- pabilities by building hierarchical settlement system models from them. Several further possible refinements are presented and discussed. 1
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