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UID:pretalx-qgis-uc2026-EEDB3R@talks.osgeo.org
DTSTART;TZID=CET:20261006T143000
DTEND;TZID=CET:20261006T150000
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 inte
 rface (brdrQ)\, the project offers flexibility for both developers and GIS
  analysts. Developers can integrate the alignment engine into automated da
 ta pipelines\, while analysts can leverage the QGIS plugin for visual vali
 dation and manual fine-tuning. Both ways of working ensure a significant r
 eduction in workload to obtain higher-quality data.\n\nIn this presentatio
 n\, we will demonstrate the underlying algorithm\, showcase the QGIS integ
 ration\, and discuss real-world use cases where these tools have improved 
 the efficiency of spatial data management at the Flanders Heritage Agency.
 \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 determi
 nistic spatial calculations. Unlike simple snapping tools\, the brdr-algor
 ithm evaluates candidate reference geometries by calculating relevant inte
 rsections and differences. It uses these metrics to generate alignment pre
 dictions: the library calculates the most likely intended geometry based o
 n geometric stability. This predictive approach allows for a high degree o
 f confidence in automated workflows\, as ‘brdr’ can distinguish betwee
 n a deliberate gap and a registration error\, maintaining the overall stru
 ctural integrity of the original dataset.\n\n# QGIS plugin: brdrQ\nbrdrQ i
 ntegrates the 'brdr'-library into a user-friendly QGIS-plugin\, making the
  'brdr' logic more accessible through visual GIS-workflows. brdrQ offers s
 everal tools\, including:\n\n- **Feature Aligner**: An interactive tool fo
 r record-by-record inspection\, allowing users to compare "predictions" (s
 uggested alignments) with a correctness score before committing changes.\n
 - **AutoCorrectBorders**: A processing algorithm for bulk alignment of dat
 asets.
DTSTAMP:20260724T230603Z
LOCATION:Bridge 2
SUMMARY:Pushing the boundaries: Automated Geometry Alignment with 'brdr' an
 d ‘brdrQ’ - Karel Dieussaert
URL:https://talks.osgeo.org/qgis-uc2026/talk/EEDB3R/
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