Region aggregation for custom histogram.#121
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norlandrhagen merged 2 commits intomainfrom Jul 28, 2025
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* origin/main: (51 commits) fix: update integration tests to include env-file and ensure pull request triggers (#130) feat: add OCRConfig for improved configuration management (#122) Bump prefix-dev/setup-pixi from 0.8.10 to 0.8.14 in the actions group (#125) refactor: revamp the CLI and add `LocalBatchManager` for local execution (#113) Region aggregation for custom histogram. (#121) Tract level aggregations (#119) bump icechunk min version (#118) add new script for subsetting and rechunking CONUS-404 data (#110) Valid rid check (#112) Work towards seperating deployment from core library (#111) Data flow diagram update (#109) County region aggregation (#104) Interp less zero (#106) revert to intel based vm types (#103) standardize tag casing from 'project=OCR' to 'Project=OCR' across multiple scripts (#102) Bump VM type from m5 to m8g (#101) alt duckdb install (#100) adds duckdb to spatial dockerfile (#99) merge pixi.toml with pyproject.toml (#97) remove empty building risk scores to filter out CA and MX buildings from CONUS (#95) ...
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Updates the region aggregation pipeline step to allow for custom histogram summary stats.
The previous approach used duckdb's
histogramfunc to create equally spaced bins for each risk time horizon score.This new approach bins risk scores that are exactly 0 into a separate bin, then concatenates them with a histogram of scores greater then 0 to create a schema that looks like: