Geographic Data Processing

This README provides an overview of three Python scripts designed for geographic data processing. Each script serves a specific function within the context of handling geographic information.

Script 1: a_Polygon_By_Postal_Code_Extractor_V8.ipynb

Purpose

This script is responsible for fetching postal code polygons based on a specified location, filtering and processing the retrieved data, and finally saving it in GeoJSON format.

Dependencies

• osmnx
• geopandas
• shapely

Usage

result_data = fetch_and_save_postal_codes(place_name="Germany", tags={"boundary": "postal_code"}, save_file=True)

Script 2: b_MongoDB_Connection.ipynb

Purpose

The purpose of this script is to establish a connection with a MongoDB database, insert GeoJSON data into it, create a 2D spatial index, and then close the connection.

Dependencies

• pymongo
• json

Configuration

The script retrieves connection parameters from a config.json file.

Usage

python b_MongoDB_Connection.ipynb

Script 3: c_Exploration_Tools.ipynb

Purpose

This script facilitates querying a MongoDB collection to retrieve the polygon corresponding to a specific postal code, along with its geometry.

Dependencies

• osmnx
• pymongo
• shapely
• json

Configuration

The MongoDB connection details and the path to the GeoJSON file are specified within the script.

Usage

python c_Exploration_Tools.ipynb