Title: Spatial interpolation of mobile positioning data for population statistics
Language: English
Authors: Aasa, Anto 
Saluveer, Erki 
Kamenjuk, Pilleriine 
Raun, Janika 
Šimbera, Jan 
Keywords: Mobile positioning; Population statistics; Spatial interpolation
Issue Date: 2019
Mobile positioning data has been mentioned in many agendas as a new input for official statistics. In current paper, we compared four different spatial interpolation methods of mobile positioning data. Best results to describe the population distribution appeared with adaptive Morton grid model where the R2 was 0.95. Widely used point-in-polygon and arealweighted interpolation gave much weaker results (R2 = 0.42; R2 = 0.35).
URI: https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:3-7089
DOI: 10.34726/lbs2019.64
Library ID: AC15512995
Organisation: E120 - Department für Geodäsie und Geoinformation 
Publication Type: Inproceedings
Appears in Collections:Conference Paper

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