This is a repository containing the data preparation steps for GOAT.
- Rename .env_template file to .env
- Run
docker-compose up -d
- Connect using the credentials defined in .env
- Go inside container and work from it.
- Use command line to prepare database
python prepare.py -db
.
- Configure preparation settings in
src/config/config.yaml
*See documentation - Use command line to prepare layers in database tables
python prepare.py -prepare LAYERNAME
(pois, network, landuse, buildings)
- Configure fusion settings in
src/config/config.yaml
*See documentation - In case of use of data from a remote database, specify credidentials defined in .env for remote database
- Use command line to fuse data and store in layers in database tables
python prepare.py -fuse LAYERNAME
(pois)
In terminal execute cammand mkdocs serve
.
Open webbrowser http://127.0.0.1:8000/