Overture Maps Geoparquet Package

Overview

The Overture Maps Geoparquet Package is a Python library designed for downloading and processing geospatial data from Overture Maps in a user-friendly way. This package allows users to specify an Area of Interest (AOI) through a GeoJSON file, automatically extract its bounding box, and download relevant geospatial data types, such as buildings, land use, and infrastructure, in GeoParquet format.

Features

• Automated Bounding Box Extraction: Parses a GeoJSON file and extracts the bounding box for easy area targeting.
• Flexible Data Downloading: Downloads various data types (e.g., buildings, infrastructure) in GeoParquet format for efficient storage and analysis.
• Easy Command-Line and Script Integration: The package provides a simple interface, allowing users to start the download process with a single function call.
• Data Organization: Downloads are organized into folders based on the AOI and data type, keeping data management straightforward.

Installation

To install the package, use pip:

pip install overture_maps_geoparquet_package

Usage

Here’s a quick guide on how to use the package:

1. Prepare a GeoJSON File

   Create a GeoJSON file that defines your area of interest (AOI). Save it in your project directory (e.g., my_area.json).

2. Run the Download Function

   Import and call download_overture_data, passing the path to your GeoJSON file:

   from overture_maps_geoparquet_package import download_overture_data
   
   # Download geospatial data for the specified area
   download_overture_data("my_area.json")

   This will:

   • Extract the bounding box from your GeoJSON file.
   • Download geospatial data (e.g., buildings, land use, infrastructure) for the AOI.
   • Save the data in organized folders within the current directory.

Example

from overture_maps_geoparquet_package import download_overture_data

# Specify the path to your GeoJSON file
geojson_path = "path/to/your_area.json"

# Start the download process
download_overture_data(geojson_path)

This code will automatically download the specified data types in GeoParquet format, organized by type.

Custom Output Directory

The download_overture_data function allows users to specify a custom directory to store downloaded data. By default, the data will be saved in a directory named overture_data in the current working directory. However, if you want to store the data in a different location, you can pass the desired path as a second argument.

from overture_maps_geoparquet_package import download_overture_data

# Specify the path to your GeoJSON file
geojson_path = "path/to/your_area.json"

# Start the download process with a custom directory
download_overture_data(geojson_path, "custom/data/directory")

In this example:

• Default behavior: If no second argument is provided, the data will be saved in overture_data.
• Custom directory: If you specify a custom directory (e.g., "custom_data_directory"), the data will be stored there instead.

This flexibility allows you to organize downloaded data more effectively, especially if you work with multiple Areas of Interest (AOIs) or projects.

Data Types Supported

The following data types are downloaded for each AOI:

• address
• building
• division
• infrastructure
• land use
• water
• And more...

Each type is saved in a folder structure organized by data category.

Project Structure

The project follows a standard layout:

overture_maps_geoparquet_package/
├── json/                 # Stores GeoJSON files
├── overture_data/        # Downloaded data, organized by AOI and type
├── src/                  # Source code for the package
├── tests/                # Unit tests
├── README.md             # Project documentation
├── pyproject.toml        # Project configuration
└── requirements.txt      # Dependency management

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests for feature requests, bug fixes, or improvements.

1. Fork the repository
2. Create a new branch (git checkout -b feature-branch)
3. Make your changes
4. Submit a pull request

License

This project is licensed under the GPL-3.0 License. See the LICENSE file for more details.

Contact

For questions, please contact [email protected].