get_gbfs {gbfs} | R Documentation |
Grab bikeshare data
Description
get_gbfs
grabs bikeshare data supplied in the General Bikeshare
Feed Specification format for a given city. By default, the function returns
the results as a named list of dataframes, but to make accumulation of
datasets over time straightforward, the user can also save the results
as .Rds files that will be automatically row-binded.
Metadata for each dataset can be found at:
https://github.com/MobilityData/gbfs/blob/master/gbfs.md
Usage
get_gbfs(city, feeds = "all", directory = NULL, output = NULL)
Arguments
city |
A character string that can be matched to a city or a url to an
active gbfs.json feed. See |
feeds |
Optional. A character string specifying which feeds should be saved.
Options are |
directory |
Optional. Path to a folder (or folder to be created) where the feed will will be saved. |
output |
Optional. The type of output method. By default, output method
will be inferred from the |
Value
The output of this function depends on the arguments supplied to
output
and directory
. Either a folder of .rds dataframes saved
at the given path, a returned named list of dataframes, or both.
The function will raise an error if the directory
and output
arguments seem to conflict.
Examples
# grab all of the feeds released by portland's
# bikeshare program and return them as a
# named list of dataframes
get_gbfs(city = "biketown_pdx")
# if, rather than returning the data, we wanted to save it:
get_gbfs(city = "biketown_pdx", directory = tempdir())
# note that, usually, we'd supply a character string
# (like "pdx", maybe,) to the directory argument
# instead of `tempdir()`.
# if we're having trouble specifying the correct feed,
# we can also supply the actual URL to the feed
get_gbfs(city = "https://gbfs.lyft.com/gbfs/1.1/pdx/gbfs.json")
# the examples above grab every feed that portland releases.
# if, instead, we just wanted the dynamic feeds
get_gbfs(city = "biketown_pdx", feeds = "dynamic")