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Releasing geo-index 0.2: Fast, memory-efficient, zero-copy spatial indexes (RTree & KDTree) for Python & Rust. - Range, nearest-neighbor queries - Persist indexes as bytes, reuse them later - Supports float32 for 2x less memory - Enables GeoParquet spatial partitioning github.com/kylebarron/g...

Is there an example of using this for spatial joins or to speed up spatial predicates (esp. via Python wrapper)? I saw mention in the docs that it was being used in geoarrow-rs for that, but couldn't easily find an example/tests/implementation. Is this in the in-progress spatial-join branch?

Ultimately I'd like to be able to compare to Shapely's STRtree + predicate query function, which is one of my favorite things in Shapely, and I use it all the time.