feat: simplify regional workbench language
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## Sprint 194 Regional official time series and full-Area performance (2026-07-14)
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Changed:
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- Generalized the explicit Statbel operator to the approved 28-municipality scope and added one coordinator for official 2021-2025 population plus 2013-2025 forest snapshots.
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- Added municipality-partitioned official 10 m WCS retrieval after the upstream response-size limit rejected a single full-region request; source partitions are resumable and mosaicked locally before exact region clipping.
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- Added a provenance-gated full-Area selection path for trusted pre-clipped operator datasets. Free rectangles, unrelated Areas and ordinary uploads continue to execute the normal PostGIS intersection path.
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- Grouped older dated snapshots behind `Historische meetmomenten`, replaced raw provider/type labels in the primary catalog and translated the remaining visible temporal, download, platform-status and detection-evaluation language.
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Live regional evidence:
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- Population datasets: five exact dated snapshots, 3,317 persisted `vector_features`; 2021 `489,927` inhabitants and 2025 `506,473`, a measured increase of `16,546` (`3.377%`).
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- Forest datasets: five exact dated snapshots, 273,669 persisted `vector_features`; 2013 `27,659.976 ha` and 2025 `27,410.687 ha`, a source-resolution change of `-249.289 ha` (`-0.9013%`).
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- All ten snapshots have one immutable dataset version and zero invalid, empty, non-4326 or source-ID-missing geometries. A repeated synchronization reused the same ten Dataset IDs without duplicates.
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- Complete-Kempen current analysis returns 506,473 inhabitants, 27,410.69 ha forest, 466,078 buildings, 88,332 water features, 84,504 roads and 415,288 parcels over 1,399.25 km2.
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Performance and runtime evidence:
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- Population full-Area API selection completed in `1.738 s`; forest completed in `1.083 s`. The browser rendered the full six-theme analysis and 2021-2025 comparison within the 3.5-second verification window, replacing the previous roughly 92-second forest-heavy workflow.
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- Tower health, PostGIS 3.6, required schema objects, Alembic head `202607140001`, frontend, API proxy and icon checks passed after deployment.
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- PyTorch `2.13.0+cpu`, Ultralytics `8.4.95` and the active local model file load successfully. The catalog exposes 24 local assets; the active seven-AOI profile remains review-required at F1 `0.5825` and was not blindly retrained.
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Tested:
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- `bash scripts/run_readiness_check.sh` passed with `571 passed`, backend compile, one Alembic head, frontend typecheck/build and live-smoke syntax validation.
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- Focused regional, temporal and end-user contract checks passed. The browser confirmed the complete regional default, six current themes, five population moments, exact temporal totals and no required project/region selection step.
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Next:
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- Complete the 48 false-positive and 48 false-negative operator review decisions, then use those decisions to build a justified next training corpus and expose the existing raster-to-tiles-to-detection workflow as one guided end-user action.
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## Sprint 193 End-user regional workbench simplification (2026-07-14)
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Changed:
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- [x] Make the complete regional workspace the automatic data context and use municipality/full-region Areas as one spatial filter instead of requiring a region dropdown.
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- [x] Reduce end-user noise by moving technical projects, source metadata, QA evidence, provider internals and model diagnostics behind explicit advanced disclosures.
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- [x] Default Detection Lab to the configured local YOLO asset and present measured model quality and control requirements honestly.
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- [ ] Extend official population and land-use time series from Mol to the approved 28-municipality regional scope.
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- [x] Extend official population and land-use time series from Mol to the approved 28-municipality regional scope.
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This file now starts with the current implementation status. Older preparation/backlog sections are preserved below as historical planning context and should not be treated as the live sprint board without checking `docs/CODEX_EXECUTION_LOG.md`.
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