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https://github.com/ropensci-archive/gtfsr
:warning: ARCHIVED :warning: Package for obtaining, validating, viewing, and storing GTFS (transit) data
https://github.com/ropensci-archive/gtfsr
peer-reviewed r r-package rstats
Last synced: 3 months ago
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:warning: ARCHIVED :warning: Package for obtaining, validating, viewing, and storing GTFS (transit) data
- Host: GitHub
- URL: https://github.com/ropensci-archive/gtfsr
- Owner: ropensci-archive
- Archived: true
- Created: 2016-03-31T00:30:10.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2022-06-10T10:19:33.000Z (about 2 years ago)
- Last Synced: 2024-03-21T15:07:36.220Z (4 months ago)
- Topics: peer-reviewed, r, r-package, rstats
- Language: R
- Homepage:
- Size: 47.9 MB
- Stars: 65
- Watchers: 14
- Forks: 22
- Open Issues: 5
-
Metadata Files:
- Readme: README-NOT.md
Lists
- awesome-r-transit - gtfsr - for reading, validation, and mapping transit data (Uncategorized / Uncategorized)
README
[](http://travis-ci.org/ropensci/gtfsr)
[](http://codecov.io/github/ropensci/gtfsr?branch=master)
[](https://github.com/ropensci/onboarding/issues/55)
## Description
`gtfsr` is an R package for easily importing, validating, and mapping
transit data that follows the [General Transit Feed Specification
(GTFS)](https://developers.google.com/transit/gtfs/) format.
The `gtfsr` package provides functions for converting files following
the GTFS format into a single `gtfs` data objects. A `gtfs` object can
then be validated for proper data formatting (i.e. if the source data is
properly structured and formatted as a GTFS feed) or have any spatial
data for stops and routes mapped using `leaflet`. The `gtfsr` package
also provides API wrappers for the popular public GTFS feed sharing site
[TransitFeeds](https://transitfeeds.com/), allowing users quick, easy
access to hundreds of GTFS feeds from within R.
## Installation
You can install this package from GitHub using the devtools package:
if (!require(devtools)) {
install.packages('devtools')
}
devtools::install_github('ropensci/gtfsr')
If you have already installed `gtfsr`, you can get the latest version by
running
remove.packages('gtfsr')
devtools::install_github('ropensci/gtfsr')
If you’d like to build the accompanying vignette, then run
devtools::install_github('ropensci/gtfsr', build_vignettes = TRUE)
## Example Usage
``` r
library(gtfsr)
library(magrittr)
library(dplyr)
# set the API key
# set_api_key() # uncomment to set api key
# get the feedlist dataframe and filter out NYC subway
feedlist_df <- get_feedlist() %>%
filter(grepl('NYC Subway GTFS', t, ignore.case= TRUE))
# import NYC gtfs feed by sending the url to `import_gtfs`
NYC <- import_gtfs(feedlist_df$url_d)
#> [1] "agency.txt" "calendar_dates.txt" "calendar.txt"
#> [4] "routes.txt" "shapes.txt" "stop_times.txt"
#> [7] "stops.txt" "transfers.txt" "trips.txt"
# get line (routes) A and B
routes <- NYC[['routes_df']] %>%
slice(which(grepl('a|b', route_id, ignore.case=TRUE))) %>%
'$'('route_id')
# take the NYC `gtfs` object and map routes. includes stops by default.
NYC %>% map_gtfs(route_ids = routes)
```
``` r
# gtfs will plot ALL shapes for a given route_ids. These can be reduced using the `service_ids` option.
ids <- NYC$trips_df %>%
select(route_id, service_id, shape_id) %>%
distinct() %>%
filter(route_id %in% routes)
ids %>% head(5) # see all unique combos of ids
#> # A tibble: 5 x 3
#> route_id service_id shape_id
#>
#> 1 A B20171105WKD A..N43R
#> 2 A B20171105WKD A..S43R
#> 3 A B20171105WKD A..N85R
#> 4 A B20171105WKD A..N54R
#> 5 A B20171105WKD A..N65R
# lets map just the the first row
route_ids <- ids$route_id[1]
service_ids <- ids$service_id[1]
shape_ids <- ids$shape_id[1]
# lets map the specific data with some other options enabled.
NYC %>%
map_gtfs(route_ids = route_ids,
service_ids = service_ids,
shape_ids = shape_ids,
route_colors = 'green', # set the route color
stop_details = TRUE, # get more stop details on click
route_opacity = .5) # change the route opacity
```
[](http://ropensci.org)