mundipy is a Python framework for spatial data manipulation. Built on top of geopandas, GDAL, and shapely, mundi.py provides a useful abstraction to eliminate the hassles of spatial data.

Projected Coordinate Systems

Automatically suggests a projected coordinate system to use, given a shapely geometry in WGS84.

This prioritizes coordinate systems that:

1. totally contain the given geometry
2. have minimal area (probably less distortion)
3. are not deprecated

>>> from mundipy.pcs import choose_pcs
>>> from shapely.geometry import Point

>>> choose_pcs(Point(-118.24, 34.052), units='feet')
{
    'name': 'NAD27 / California zone VII',
    'epsg': 26799,
    'crs': 'EPSG:26799',
    'units': 'feet'
}

Project Roadmap

• No projections needed: automatically chooses and selects a relevant CRS when doing operations
• Automatic spatial indexing
• Jupyter notebook native (_repr_html_) that doesn't explode with massive data
• Nearest neighbor/distance queries
• Spatial joins
• Dissolving into h3/s2

License

Mundi.py is MIT licensed.