OpenLUR is a off-the-shelf solution for globally available land use regression for e.g. pollution prediction.

Requirements

• python3 with requirements from requirements.txt
• docker (recommended)
• docker-compose (recommended)

Usage

Feature extraction from OpenStreetMap

First start docker-container for the PostGIS database:

        docker-compose up -d

Alternatively you have to have a postgres database with postgis extension.

The next steps are based upon the application scenario: You can extract features either for a grid

        python3 osm_feature_generation.py map <databasename in lowercase (e.g. city name)> <minimum latitude> <maximum latitude> <minimum longitude> <maximum longitude>

or a file with latitude and longitude values:

        python3 osm_feature_generation.py file <databasename in lowercase (e.g. city name)> <file (csv-file with lat and lon columns)> (-v <value to keep in the output file, optional>)

Both will output a csv file (filename indicated in the command line output) containing lat, lon, value (if specified) and the land usage features.

Recreation of paper experiments

(will be available upon published paper)