Scripts to help make road data extracted from Microsoft Bing Maps imagery more amenable. Recreated repository following delete to purge LFS storage
Microsoft Bing Maps imagery has been used to identify and extract road data here. As the associated files are released under the Open Data Commons licence and quite big and sit in a TSV GeoJSON format repository holds this road data into individual files split by country
The GeoGPKG files are under here
The project is developed in python3 and bash shell script on Linux Mint, and will attempt to download, process and create GeoPackage. However this can take quite a long time as the data is quite big
This assumes that you have a working bash and base python3 environment and the curl command line tool for getting data from a URL. To run the project type
$ ./run.sh
This will create a python virtual environment, install package dependencies and then attempt to down and processes all of the files on the Microsoft repository
My thanks to Microsoft for publishing this data set and making it freely available for download and use under the Open Data Commons Open Database License (ODbL).
The code is released under the Apache License, Version 2.0 and the derived data is published in a separate repository here under the Creative Commons Attribution 4.0 International License
Thanks to Alistair Rae for letting me know about this
Will
