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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...

github.comGitHub - kylebarron/geo-index: A Rust crate and Python library for packed, immutable, zero-copy spatial indexes.A Rust crate and Python library for packed, immutable, zero-copy spatial indexes. - kylebarron/geo-index

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?

I wrote those docs a little while ago and I was a bit optimistic. 😅 I started the spatial-join branch but then put that on hold to do some major architectural overhauls of the geoarrow-rs codebase. It's not used in prod yet today to do actual spatial joins, but it's a top priority.

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