Here are gathered tools and scripts to rebuild a database of GIS elements from publicly available data sources
To install the library, and be able to import it elsewhere (including in the provided scripts), run:
python3 setup.py develop
If you plan to integrate simplified geometries for the Zaehslprengel, you need to install mapshaper through npm: npm install -g mapshaper
The main database structure is wrapped in a class database.Database. It then accepts Fillers objects, that will eventually populate it when calling db.fill_db(). Fillers can be for example for geographical zones, for a set of nodes, of edges, ... With this structure you can choose specifically which data you want, combine it with others similar sources, and test behavior on dummy data.
Scripts are located in the scripts folder. They are simple examples of how to fill a database, with a small description.
Tests are located in tests/testmodule. At the root of the repository, you can simply run pytest. They need a local PostgreSQL database, with PostGIS available, on port 5432, named test_gis_fillers, for user postgres. Password is read from your ~/.pgpass file.
Alternatively if you do not want to run the list of tests but just want to check the basic behavior, you can use scripts and specify another database.
- Zaehlsprengel/population/PLZ data is automatically downloaded from statistik.at
- Countries data are downloaded from https://gisco-services.ec.europa.eu