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.


Reference manual

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0.1.1 by Katherine Roehrick, 7 months ago

Browse source code at

Authors: Katherine Roehrick [aut, cre]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports dplyr, tidyr, sp, rgdal, geosphere, data.table, rlang, googleway, stringr, stats, hms

Suggests R.rsp

See at CRAN