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Briefly, this algorithm first divides a 2-dimentional space into polygons according to the locations of the observed data points, then estimates the value at locations for which data is absent by weighting each of the neighbouring locations by their relative overlap.
Cell-phone location data is shockingly intrusive.
Location data is the element that proves the law.
Obviously incorrect locations are avoided, and when data are absent or of poor quality the estimates will have a lower precision.
But these data are absent.
When data are absent, people get to choose their own anecdotes and treat them as fact.
Note that IP addresses data are absent.
Where data are absent or uncertain, they assume some level of risk.
Question mark indicates that data are absent.
Unfortunately, such data are absent in the literature.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com