Automated Spatial Delineation and Interactive Manual Refinement
Use cases
Construction and spatial planning
Nationwide algorithm-driven spatial delineation (Python, SQL) paired with interactive manual refinement tools.
Problem description
Attribute-based automated spatial delineation is fast and scalable nationwide, but data gaps or complexities can yield imperfect boundaries. Purely manual editing is resource-intensive for large datasets, while pure automation lacks expert precision. Combining automated processing with manual correction can deliver optimal results.
Solution workflow
Developing and executing Python/SQL algorithms nationwide for automated boundaries, followed by an interactive map app for manual parcel inclusion/exclusion.
Output
Automated boundary generation combined with easy map-based user adjustments, blending algorithmic efficiency with expert control and flexibility.
