parcel-building-mapper 0.1.0

Description:

parcelbuildingmapper 0.1.0

building2parcel-training
building2parcel-training is a Python package for mapping parcels and buildings, designed to assist in training models to associate buildings with their corresponding parcels. It provides functionality for loading, processing, and visualizing geospatial data for parcels and buildings.
Features

Load and process parcel and building data from shapefiles
Join parcel and building data based on spatial relationships
Generate maps using different base layers:

Mapbox satellite imagery
NASA GIBS REST API
NASA GIBS Web Map Service (WMS)
Simple maps without satellite imagery


Customize map output with various options
Support for creating training datasets for building-to-parcel association models

Installation
You can install building2parcel-training using pip:

pip install building2parcel-training


For development, clone the repository and install in editable mode:

git clone https://github.com/yourusername/building2parcel-training.git
cd building2parcel-training
pip install -e .


Usage
Here's a basic example of how to use building2parcel-training:
from building2parcel_training import ParcelBuildingMapper

# Initialize the mapper with paths to your data
parcels_path = "path/to/your/parcels.shp"
buildings_path = "path/to/your/buildings.shp"
mapper = ParcelBuildingMapper(parcels_path, buildings_path)

# Set output paths
parcels_output_path = "output/parcels/"
buildings_output_path = "output/buildings/"

# Generate maps using Mapbox satellite imagery
mapper.generate_maps(parcels_output_path, buildings_output_path,
start_index=0, end_index=5, distance=200,
map_type='mapbox_satellite')

# Generate simple maps without satellite imagery
mapper.generate_maps(parcels_output_path, buildings_output_path,
start_index=5, end_index=10, distance=200,
map_type='simple')

# Generate maps using NASA GIBS REST API
mapper.generate_maps(parcels_output_path, buildings_output_path,
start_index=10, end_index=15, distance=200,
map_type='nasa_gibs_rest')

# Generate maps using NASA GIBS WMS
mapper.generate_maps(parcels_output_path, buildings_output_path,
start_index=15, end_index=20, distance=200,
map_type='nasa_gibs_wms')

## Requirements

- matplotlib
- cartopy
- geopandas
- python-dotenv
- Pillow
- numpy
- owslib

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

This project is licensed under the MIT License - see the LICENSE file for details.

## Acknowledgments

- Thanks to Mapbox and NASA GIBS for providing satellite imagery services.
- This project was developed to support machine learning efforts in associating buildings with their corresponding parcels.