Examples

This page groups practical brdr examples from basic alignment to advanced workflows.

How to use these examples:

Start with Get Started to understand the standard Aligner flow.
Continue with Loader examples to connect your own data sources.
Use Prediction and Evaluation once your processing pipeline is stable.
Use processor-specific examples (for example NetworkGeometryProcessor) only when needed.

Most examples use real GRB reference data and therefore require network access during execution.

Scoped Processing Area

Backward-compatible

Align only a selected part of each geometry and keep the rest unchanged

Karel Dieussaert

Custom Predictor Strategy

Inject a custom predictor that retains only the highest-scoring prediction

Karel Dieussaert

GeoDataFrameLoader + GeoPandas Workflow

GeoDataFrameLoader

Load thematic and reference geometries from GeoDataFrames and export brdr results back to GeoDataFrame

Karel Dieussaert

OpenDomain in Network Processor

OpenDomainStrategy

NetworkGeometryProcessor

Apply all OpenDomainStrategy variants in NetworkGeometryProcessor with polygon reference coverage

Karel Dieussaert

OpenDomain in Snap Processor

OpenDomainStrategy

SnapGeometryProcessor

Compare EXCLUDE, AS_IS and SNAP_ALL_SIDE in SnapGeometryProcessor with polygon references

Karel Dieussaert

Compare-to-Reference with DE-9IM

Inspect measure_type, OD metrics and DE-9IM relation strings from compare_to_reference

Karel Dieussaert

Custom Evaluator Strategy

Inject a custom evaluator that enriches evaluated results with custom properties

Karel Dieussaert

GeojsonLoader

Load thematic features from GeoJSON and align them to reference data

Karel Dieussaert

Lambert72 to Lambert 08

Realign transformed geometries after Lambert72 -> Lambert08 conversion

Karel Dieussaert

Evaluation

Evaluate predicted results and inspect scoring metadata

Karel Dieussaert

DictLoader

Load geometries from a Python dictionary and align with GRB reference data

Karel Dieussaert

Animated GIF

Generate an animation of alignment behavior across relevant distances

Karel Dieussaert

Prediction

Predict stable candidate geometries across multiple relevant distances

Karel Dieussaert

Get Started

Minimal end-to-end alignment example with in-memory data

Karel Dieussaert

NetworkGeometryProcessor

NetworkGeometryProcessor

Use NetworkGeometryProcessor as processor backend for alignment

Karel Dieussaert