Geocoding

This Python script reads addresses from a CSV file, processes them using geocoding services (ArcGIS and Komoot), and saves the results with latitude and longitude coordinates.

Features

Reads addresses from a CSV file
Uses ArcGIS and Komoot geocoding services
Implements retry logic for failed requests
Saves output CSV files at defined intervals
Handles missing data and errors gracefully

Requirements

Ensure you have the following installed:

Python 3.x
Required Python libraries:
sh
pip install pandas requests geocoder

Configuration

Modify the following parameters in the script to suit your needs:

input_file_path: Path to the input CSV file containing addresses
output_dir: Directory where the results will be saved
address_column_name, city_column_name, plz_column_name: Define column names
start_index: Start processing from a specific row (useful for resuming after a crash)
status_rate: Print progress after processing every N addresses
write_data_rate: Write intermediate results to a file after every N processed addresses
attempts_to_geocode: Number of retries before giving up on an address
wait_time: Initial delay before retrying failed requests

Usage

Prepare your CSV file with columns for address, city, and optionally postal codes.
Run the script:
sh
python geo_calc.py
Results will be saved in the output_test_coord directory.

Output

The script generates CSV files containing:

Address
Latitude
Longitude
Geocoding Provider

Error Handling

If an address cannot be geocoded, it is marked as "not geocoded".
Errors are logged, and failed attempts are retried with a delay.

Contributions

Contributions are welcome!

License

Distributed under the GNU Affero General Public License v3.0 License. See LICENSE for more information.