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UID:pretalx-foss4g-europe-2026-79DYEL@talks.osgeo.org
DTSTART;TZID=EET:20260701T113000
DTEND;TZID=EET:20260701T120000
DESCRIPTION:Maintaining spatial consistency between different thematic geog
 raphic datasets and reference layers (such as cadastral parcels or base ma
 ps) is a persistent challenge in GIS workflows. Manually snapping boundari
 es to match updated reference data is not only time-consuming and prone to
  human error but also difficult to reproduce. To address this\, Athumi (Th
 e Flemish Data Utility Company) & Flanders Heritage Agency developed brdr\
 , an open-source Python library\, and its companion QGIS plugin\, brdrQ\, 
 designed to automate and streamline the alignment of geometries to referen
 ce borders. \n\nBy decoupling the alignment logic (brdr) from the user int
 erface (brdrQ)\, the project offers flexibility for both developers and GI
 S analysts. Developers can integrate the alignment engine into automated d
 ata pipelines\, while analysts can leverage the QGIS plugin for visual val
 idation and manual fine-tuning. Both ways of working ensure a significant 
 reduction in workload to obtain higher-quality data. \n\nIn this presentat
 ion\, we will demonstrate the underlying algorithm\, showcase the QGIS int
 egration\, and discuss real-world use cases where these tools have improve
 d the efficiency of spatial data management at the Flanders Heritage Agenc
 y. \n\n### Python library: brdr \n\nAt its core\, brdr is a Python library
  built to detect and resolve geometric discrepancies through a series of d
 eterministic spatial calculations. Unlike simple snapping tools\, the brdr
 -algorithm evaluates candidate reference geometries by calculating relevan
 t intersections and differences. It uses these metrics to generate alignme
 nt predictions: the library calculates the most likely intended geometry b
 ased on geometric stability. This predictive approach allows for a high de
 gree of confidence in automated workflows\, as ‘brdr’ can distinguish 
 between a deliberate gap and a registration error\, maintaining the overal
 l structural integrity of the original dataset. \n\n### QGIS plugin: brdrQ
  \n\nbrdrQ integrates the 'brdr'-library into a user-friendly QGIS-plugin\
 , making the 'brdr' logic more accessible through visual GIS-workflows. br
 drQ offers several tools\, including: \n\n- Feature Aligner: An interactiv
 e tool for record-by-record inspection\, allowing users to compare "predic
 tions" (suggested alignments) with a correctness score before committing c
 hanges. \n- AutoCorrectBorders: A processing algorithm for bulk alignment 
 of datasets.
DTSTAMP:20260605T105232Z
LOCATION:A02
SUMMARY:Pushing the boundaries: Automated Geometry Alignment with 'brdr' an
 d ‘brdrQ’ - Yanko Godaert
URL:https://talks.osgeo.org/foss4g-europe-2026/talk/79DYEL/
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