update and fix links

DESCRIPTION

@@ -20,7 +20,7 @@ Authors@R: c(
     person("Dave", "Vautin", role = c("ctb")),
     person("Kyle", "Walker", role = c("ctb"))
   )
-Description: Read General Transit Feed Specification (GTFS) zipfiles into a list of R dataframes. Perform validation of the data structure against the specification. Analyze the headways and frequencies at routes and stops. Create maps and perform spatial analysis on the routes and stops. Please see the GTFS documentation here for more detail: <http://gtfs.org/>.
+Description: Read General Transit Feed Specification (GTFS) zipfiles into a list of R dataframes. Perform validation of the data structure against the specification. Analyze the headways and frequencies at routes and stops. Create maps and perform spatial analysis on the routes and stops. Please see the GTFS documentation here for more detail: <https://gtfs.org/>.
 License: GPL
 LazyData: TRUE
 Depends: R (>= 3.6.0)

R/data.R

@@ -15,7 +15,7 @@
 #'   \item{url_d}{GTFS feed url}
 #'   \item{url_i}{the metadata url for the feed}
 #' }
-#' @source \url{http://www.transitfeeds.com/}
+#' @source \url{https://transitfeeds.com/}
 "feedlist"
 
 #' Dataframe of route type id's and the names of the types (e.g. "Bus")
@@ -34,7 +34,7 @@
 #' Example GTFS data
 #' 
 #' Data obtained from 
-#' \url{http://data.trilliumtransit.com/gtfs/duke-nc-us/duke-nc-us.zip}. 
+#' \url{https://data.trilliumtransit.com/gtfs/duke-nc-us/duke-nc-us.zip}. 
 #' @docType data
 #' @seealso read_gtfs
 "gtfs_duke"

R/transitfeeds.R

@@ -268,7 +268,7 @@ tfeeds_parse_getlocation <- function(req) {
 #' @noRd
 #' @return Result of httr::RETRY
 #'
-#' @details See http://transitfeeds.com/api/ for available API calls
+#' @details See https://transitfeeds.com/api/ for available API calls
 tfeeds_get <- function(path,
                        query,
                        ...,
@@ -283,7 +283,7 @@ tfeeds_get <- function(path,
 
   req <- httr::RETRY(
     verb = "GET"
-    , url = 'http://api.transitfeeds.com/'
+    , url = 'https://api.transitfeeds.com/'
     , path = paste0(version, path)
     , query = my_query
     , times = 5

README.md

@@ -11,7 +11,7 @@ status](https://github.com/r-transit/tidytransit/workflows/R-CMD-check/badge.svg
 
 Use tidytransit to map transit stops and routes, calculate travel times and transit
 frequencies, and validate transit feeds. Tidytransit reads the 
-[General Transit Feed Specification](http://gtfs.org/) into 
+[General Transit Feed Specification](https://gtfs.org/) into 
 [tidyverse](https://tibble.tidyverse.org/) and 
 [simple features](https://en.wikipedia.org/wiki/Simple_Features) data frames. 
 Tidytransit can be used to:

vignettes/frequency.Rmd

@@ -24,15 +24,15 @@ options(dplyr.summarise.inform=F)
 ## Introduction
 
 The focus of this vignette is on how to use R to make graphics about where and how often 
-transit service operates based on schedule data published in the [General Transit Feed Specification](http://gtfs.org/). 
+transit service operates based on schedule data published in the [General Transit Feed Specification](https://gtfs.org/). 
 We'll focus on the New York City Metropolitan Transit Agency's Subway schedule for this 
 vignette, but you can easily apply it to thousands of other GTFS data sources. See the 
-[tidytransit introductory vignette](http://tidytransit.r-transit.org/articles/introduction.html#finding-more-gtfs-feeds) 
+[tidytransit introductory vignette](https://tidytransit.r-transit.org/articles/introduction.html#finding-more-gtfs-feeds) 
 for instructions on finding data for other cities and operators. 
 
 ## Setup
 
-You'll need to have tidytransit installed. Please see the [install instructions](http://tidytransit.r-transit.org/articles/introduction.html#installation-dependencies) for more details. 
+You'll need to have tidytransit installed. Please see the [install instructions](https://tidytransit.r-transit.org/articles/introduction.html#installation-dependencies) for more details. 
 
 ## Outline
 
@@ -47,7 +47,7 @@ So, to review, we're going to:
 ### 1) Import Transit Data (GTFS)
 
 We'll start by importing a snapshot of the NYC MTA's subway schedule, which is included 
-with the package when [installed](http://tidytransit.r-transit.org/index.html#installation).  
+with the package when [installed](https://tidytransit.r-transit.org/index.html#installation).  
 
 ```{r}
 local_gtfs_path <- system.file("extdata", "google_transit_nyc_subway.zip", package = "tidytransit")

vignettes/introduction.Rmd

@@ -21,12 +21,12 @@ library(dplyr)
 
 Use tidytransit to:
 
-- [Read a GTFS Feed into R Data Types](http://tidytransit.r-transit.org/articles/introduction.html#read-gtfs-data)
-- [Validate transit feeds](http://tidytransit.r-transit.org/articles/introduction.html#feed-validation-results)
-- Coerce [stops and routes to 'simple features'](http://tidytransit.r-transit.org/reference/stops_as_sf.html) and [plot them](http://tidytransit.r-transit.org/reference/plot.gtfs.html)
-- [Create graphics about transit service](http://tidytransit.r-transit.org/articles/servicepatterns.html)
-- [Calculate travel time between transit stops](http://tidytransit.r-transit.org/reference/raptor.html)
-- [Look up GTFS feeds from around the world within R](http://tidytransit.r-transit.org/articles/introduction.html#finding-more-gtfs-feeds)
+- [Read a GTFS Feed into R Data Types](https://tidytransit.r-transit.org/articles/introduction.html#read-gtfs-data)
+- [Validate transit feeds](https://tidytransit.r-transit.org/articles/introduction.html#feed-validation-results)
+- Coerce [stops and routes to 'simple features'](https://tidytransit.r-transit.org/reference/stops_as_sf.html) and [plot them](https://tidytransit.r-transit.org/reference/plot.gtfs.html)
+- [Create graphics about transit service](https://tidytransit.r-transit.org/articles/servicepatterns.html)
+- [Calculate travel time between transit stops](https://tidytransit.r-transit.org/reference/raptor.html)
+- [Look up GTFS feeds from around the world within R](https://tidytransit.r-transit.org/articles/introduction.html#finding-more-gtfs-feeds)
 
 # Installation & Dependencies