<div class="csl-bib-body">
<div class="csl-entry">Aasa, A., Saluveer, E., Kamenjuk, P., Raun, J., & Šimbera, J. (2019). Spatial interpolation of mobile positioning data for population statistics. In <i>LBS 2019; Adjunct Proceedings of the 15th International Conference on Location-Based Services / Gartner, Georg; Huang, Haosheng</i>. Wien. https://doi.org/10.34726/lbs2019.64</div>
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dc.identifier.uri
https://doi.org/10.34726/lbs2019.64
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/663
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dc.description.abstract
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).
en
dc.language
English
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dc.language.iso
en
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dc.publisher
Wien
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Mobile positioning
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dc.subject
Population statistics
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dc.subject
Spatial interpolation
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dc.title
Spatial interpolation of mobile positioning data for population statistics
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dc.type
Inproceedings
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dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.relation.publication
LBS 2019; Adjunct Proceedings of the 15th International Conference on Location-Based Services / Gartner, Georg; Huang, Haosheng
