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GTFSwizard 1.2.1

• Refreshed the README figures and package website from the current plotting code, and added a reproducible figure-generation script for maintainers.

• Improved the year-faceted service calendar for dense feeds and retained the supplied object name in the explore_gtfs() dashboard.

• Organized the package website by workflow, added task-based function reference sections, and added vignettes for getting started, service analysis, filtering and editing, and the interactive dashboard.

• Standardized public method values with underscores: by_trip, by_route, by_hour, by_stop, and by_shape. Legacy dotted values remain accepted.

• Standardized public argument names including file_path, gtfs_x, gtfs_y, max_dwelltime, and min_length, with compatibility aliases for previous names.

• Improved tidy_raptor() validation, transfer handling, date selection, and output column names.

• Added planning indicators to explore_gtfs(), including scheduled headway, commercial speed, service span, vehicle-hours, peak fleet, stop spacing, and route connectivity.

• Calendar and service-pattern summaries now represent dates with no active service explicitly: trip counts are 0, and the service pattern is labeled "No service".

GTFSwizard 1.2.0

• plot_routefrequency() now uses a route-hour-service pattern tile plot and limits the default display to the busiest routes through top_n, improving readability for large feeds.

• explore_gtfs() adds a route-count control for route-frequency plots and keeps filtered service and service-pattern selections aligned.

GTFSwizard 1.1.1

• create_gtfs() introduced.

• CRAN resubmission release following archival caused by the archived hrbrthemes dependency. The dependency has been removed, and the package dependency set has been substantially reduced.

• GTFS editing and selection

  • filter_stop() and filter_time() now preserve partial trips for experimentation instead of restoring complete stop sequences.
  • selection() now supports grouping columns and computed groups in a style similar to dplyr::group_by(), while continuing to support logical and spatial selections without altering GTFS tables.

• Plotting and dashboard

  • Fixed repeated warnings and -Inf values when shape_dist_traveled contains only missing values.
  • explore_gtfs() removes duplicated system information, assigns distinct route colors, and filters non-finite plotting values.
  • All static plots use a shared visual theme and palette.

• Package quality

  • Added Francisco Moraes de Oliveira Neto as an author.
  • Expanded integrity, round-trip, selection, spatial, plotting, and regression tests.
  • Reviewed exported function documentation and GTFS logic against the current GTFS Schedule reference.

GTFSwizard 1.1.0

• Now featuring travel time matrices, trip speed and dwell-time editing, corridors, hubs, and more!

• New functions

  • tidy_raptor() estimates travel time matrices from gtfs feeds;
  • edit_speed() adjusts travel speed in a GTFS dataset;
  • edit_dwelltime() modifies the dwell time of trips;
  • set_dwelltime() overwrites the dwell time of trips;
  • get_hubs() estimates high integration potential stops;
  • get_corridor() suggests “right-of-way” transit corridors;
  • plot_corridor() plots the suggested corridors from get_corridor() function;
  • get_1stdeparture() retrieves the start timepoint of each trip;
  • latlon2epsg() determines the appropriate EPSG code for a given sf object.

• New methods

  • get_headways() now accepts ‘method = “by_stop”’ and ‘method = “by_shape”’.
  • get_frequency() now accepts ‘method = “by_shape”’ and ‘method = “by_stop”’.

• Bug fix & improvements

  • Better column naming;
  • Minor bug fixed on filter_date() and get_shapes_sf();
  • get_headways() output fixed;
  • split_trip() can now be used after filter_time();
  • get_speeds(), get_durations() and get_distances() now accept the trips argument.

GTFSwizard 1.0.0

• Initial CRAN submission.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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