geoarrow-rust-core 0.2.0

Efficient, vectorized geospatial operations in Python.

geoarrow.rust.core

Python bindings to geoarrow-rs

Overview

This library contains Python bindings to the GeoArrow Rust implementation.

• Fast: Connects to algorithms implemented in GeoRust, which compile to native code.
• Parallel: Multi-threading is enabled out-of-the-box for all operations on chunked data structures.
• Self-contained: Zero Python dependencies.
• Easy to install: Distributed as static binary wheels with zero C dependencies.
• Strong, static typing: geometry arrays have a known type
• Interoperable ecosystem: Data is shared at zero cost with other Python libraries in the burgeoning GeoArrow ecosystem, such as geoarrow-c or lightning-fast map rendering.

More specifically, it contains:

• Classes to represent GeoArrow arrays: PointArray, LineStringArray, etc.
• Classes to represent chunked GeoArrow arrays: ChunkedPointArray, ChunkedLineStringArray, etc.
• A spatial table representation, GeoTable, where one column is a geospatial type, to enable future support for geospatial joins.
• Rust-based algorithms for computations on GeoArrow memory.
• Rust-based parsers for various geospatial file formats.

Documentation

Refer to the documentation at geoarrow.github.io/geoarrow-rs/python.

Future work:

• 3D coordinates. Only 2D geometries are supported at this time.
• More algorithms, including spatial indexes and spatial joins.
• CRS management. This currently loses the CRS information in the GeoArrow metadata.

Background reading

Refer to the GeoArrow Python module proposal for more background information.