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However different providers will\nresolve the same addresses to different locations, and it can be important to\nconsider this spatial error. For example, when determining the census tract an\naddresses should be linked to, there may be some error. This error can go\nunacknowledged but still be very influential on analysis, similar to the famous\nmodifiable area-unit problem (MAUP), but for point representations of addresses.\n\nThis library can be used to determine spatial error across selected geocoding\nproviders. It can, for example, produce the convex hull of successful geocodes,\nso you can imagine an address as a polygon. These individual points are also\navailable as a multipoint geometry.\n\nIntended to work with as many of the providers supported by geopy as you care to\nconfigure. Without configuration, will use free global provdiders that don't\nrequire API tokens.\n\nOnly supports Python 3. 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