places: Clusters GPS Data into Places
Clusters GPS coordinates into places (i.e., meaningful stops). Additionally, categorizes places into types (e.g., home, cafe, gym). Places are identified as home using a rules-based algorithm defining home as the stop occurring most frequently during the night. Other places (e.g., cafe, gym) are identified using the Google Maps API.
||R (≥ 2.10)
||dplyr, tidyr, sp, rgdal, geosphere, data.table, rlang, googleway, stringr, stats, hms
||Katherine Roehrick [aut, cre]
||Katherine Roehrick <kr.gitcode at gmail.com>
||MIT + file LICENSE
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