Spatial interpolation of mobile positioning data for population statistics

نویسندگان

چکیده

Mobile positioning is recognised to be one of the most promising new sources data for production fast and cost-effective statistics regarding population mobility. Considerable interest has been shown by government institutions in their search a way use mobile produce official statistics, although date there are only few examples successful projects. Apart from access sampling, main challenges relate spatial interpolation extrapolation recorded level entire population. This area work received relatively little attention academic discussion. In current study, we compare five different methods data. The best describing distribution size comparison with Census adaptive Morton grid Random forest model (R2 > 0.9), while more widely used point-in-polygon areal-weighted results that far less satisfactory = 0.42; R2 0.35). Careful selection therefore utmost importance producing reliable

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ژورنال

عنوان ژورنال: Journal of Location Based Services

سال: 2021

ISSN: ['1748-9733', '1748-9725']

DOI: https://doi.org/10.1080/17489725.2021.1917710