| 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 | 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). |
URI: | https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:3-7089 http://hdl.handle.net/20.500.12708/663 |
DOI: | 10.34726/lbs2019.64 | Library ID: | AC15512995 | Organisation: | E120 - Department für Geodäsie und Geoinformation | Publication Type: | Inproceedings Konferenzbeitrag |
| Appears in Collections: | Conference Paper |
Files in this item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Aasa Anto - 2019 - Spatial interpolation of mobile positioning data for...pdf | 626.51 kB | Adobe PDF |  View/Open |
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