Build reliable geospatial compliance pipelines from the ground up.
A practical engineering reference for architecting rule-driven spatial analysis systems — covering setback buffers, FAR & height checks, density mapping, overlay routing, and audit-ready report generation. Written for urban planners, compliance officers, Python GIS developers, and consulting teams who need their automation to hold up in front of a planning board.
Each pillar below dives into a discipline you can deploy in isolation or compose into a full multi-jurisdictional pipeline. Sub-articles drill into concrete implementation patterns, validation logic, and operational safeguards — all Python-first with geopandas, shapely, and PostGIS examples.
Core Architecture & Regulatory Mapping
Foundational pipeline architecture: ingestion, predicate translation, threshold enforcement, scoping, and resilient orchestration.
Explore →Rule Engine Design
Declarative rule modeling, dynamic setbacks, FAR/height logic, overlay routing, and async execution patterns.
Explore →Spatial Analysis Pipelines
Density grids, proximity & buffer overlap, land use intersection, and batch processing optimization at scale.
Explore →Start here
These implementation guides cover the highest-value tasks — practical walkthroughs you can apply directly to a production compliance pipeline.
All sections
The site is organised into three pillars. Each pillar page is a long-form architecture guide; cluster and long-tail sub-articles are standalone deep-dives on specific implementation patterns.
Core Architecture & Regulatory Mapping
Foundational pipeline architecture: ingestion, predicate translation, threshold enforcement, scoping, and resilient orchestration.
Rule Engine Design
Declarative rule modeling, dynamic setbacks, FAR/height logic, overlay routing, and async execution patterns.
Spatial Analysis Pipelines
Density grids, proximity & buffer overlap, land use intersection, and batch processing optimization at scale.