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Traffic roads come from OpenFreeMap vector tiles, or TomTom flow tiles with a key (Hybrid by default). Military areas use OpenFreeMap polygons with a bundled worldwide name index; wide views show named points. ALPR reads an hourly OpenStreetMap extract. Cockpit place context and country, state and US county outlines use bundled Natural Earth and US Census data. Overpass is used only when an operator configures their own endpoint. Also: camera arrivals no longer land below ground, keyless terrain retries on 429, bounded relation geometry for configured Overpass, one shared OpenStreetMap credit, and separate tile and API transports for embedders. Co-authored-by: theGaryLarson <[email protected]> Co-authored-by: Milan Khanal <[email protected]>
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# Military area names
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This database is distributed under [ODbL 1.0](https://opendatacommons.org/licenses/odbl/1-0/), separately from the MIT code.
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© [OpenStreetMap contributors](https://www.openstreetmap.org/copyright).
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Distribution: [Overture Maps Foundation](https://docs.overturemaps.org/attribution/), base/land_use release **2026-09-23.1**.
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OSM snapshots: **2026-09-06**, with two named records from **2026-09-12**.
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Selected named military areas; geometry simplified to interior label points,
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bounds and area, coordinates rounded and records re-encoded. Names are unchanged.
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Rows: `[typedOsmId, name, lon, lat, west, south, east, north, classIndex, areaM2]`.
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Labels use five decimal places; bounds use four. Area is measured on the WGS84
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ellipsoid. Class indices refer to `classes`. Output SHA-256: [`names.sha256`](names.sha256).
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Rebuild (maintainer tool; requires Python and `duckdb==1.5.5`):
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```sh
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python scripts/build-military-names.py --cache /tmp/military-names
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python scripts/build-military-names.py --cache /tmp/military-names --verify
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```
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The pinned parquet file list and query are in `scripts/military-names-files.json`
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and `scripts/military-names.sql`. The first build downloads DuckDB extensions and
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scans source columns; subsequent builds reuse the cached selected rows.
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