May 2026 monthly summary for apache/sedona focused on polar-region SRID accuracy improvements. Key outcomes: - Addressed a critical geospatial correctness issue by fixing the ST_BestSRID logic for geometries near the poles, enabling accurate SRID determination in polar regions. - Implemented and committed the polar-region SRID fix (commit d451b6b1fc893c4cb40bf753b2d2ad3d89245ccc), aligned with GH-2901 and PR #2902, co-authored by Thomas Dekeyser. - Resulted in more reliable polar geospatial analytics, reducing downstream errors in area/length/distance calculations for datasets involving Arctic/Antarctic geometries. - Demonstrated cross-team collaboration and code quality through PR-level changes and co-authorship, reinforcing maintainability for future SRID edge-case handling. Overall impact: - Technical: improved SRID selection reliability for edge-case geometries, higher correctness in geospatial processing, and fewer QA/regression issues related to polar datasets. - Business value: increased trust and reliability for Sedona in polar analytics scenarios, enabling customers to confidently perform geospatial analysis on polar data with reduced risk of incorrect results. Technologies/skills demonstrated: - Geospatial algorithms and SRID logic (ST_BestSRID), polar-region edge-case handling, regression-oriented fixes, pull-request-based collaboration, and co-authorship in a cross-functional team.