Once one starts seeing autocorrelation, it's everywhere. Temporal, spatial, phylogenetic, ... In my case (below), does not seem it caused significant modeling issues to ignore it. http://rpubs.com/EmilOWK/UV_UScounties …
The trouble with aggregation in spatial data. In fact, most social science data is spatial, but the spatial component is ignored. https://mgimond.github.io/Spatial/pitfalls-to-avoid.html …pic.twitter.com/njBauaB3IJ
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Quite like gerrymangering?
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Gerrymandering is a use of this data feature for political ends, yes.
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