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.
Version: |
0.1.1 |
Depends: |
R (≥ 2.10) |
Imports: |
dplyr, tidyr, sp, rgdal, geosphere, data.table, rlang, googleway, stringr, stats, hms |
Suggests: |
R.rsp |
Published: |
2021-04-08 |
Author: |
Katherine Roehrick [aut, cre] |
Maintainer: |
Katherine Roehrick <kr.gitcode at gmail.com> |
License: |
MIT + file LICENSE |
NeedsCompilation: |
no |
Language: |
en-US |
CRAN checks: |
places results |
Documentation:
Downloads:
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