A set of utilities for working with data coming from Strætó.is.
To run the utilities, you need to have Node.js 0.6+, npm and CoffeeScript installed.
% git clone http://github.com/gudmundur/straeto-utilities
% cd straeto-utilities
% npm install
If you don't have CoffeeScript installed, the setup of this project needs it installed globally
% npm install coffee-script -g
To convert ISN93 coordinates from Strætó, export the entire data file to csv, run the stops.coffee and off you go. The script arguments are
% coffee stops
Usage: stops input_file.csv output_file.csv
% coffee stops.coffee stops.csv nicely_formatted_stops.csv
The scraped data doesn't contain any information on where each bus stop is located, so some manual effort was required, the data has to be mapped to a list of stops, each containing a list of which busses stop there.
This conversion is done by taking the output of the scraper, and executing the convert_routes_to_stops.coffee utility.
% cp ../straeto-scraper/leid*.json .
% coffee convert_routes_to_stops.coffee
The converted output was loaded into a Google Docs Spreadsheet, and with the effort of a few good people, the approximate locations of the stops are available.
... export the stop data Google Docs to a csv file ...
% coffee stop_csv_to_json.coffee
Now we have a list of all stops, along with gps coordinates, and which routes pass by.
Currently I'm working on getting confirmation for that the data I've obtained from Strætó is indeed public.
- Ævar Arnfjörð Bjarmason, the ISN93 to WGS84 convertion code comes from this rockstar.
- Björgvin Ragnarsson, various tech and legal aspect pointers.