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 section below dives into a discipline you can deploy in isolation or compose into a full multi-jurisdictional pipeline. The guides beneath them drill into concrete implementation patterns, validation logic, and operational safeguards — all Python-first with geopandas, shapely, and PostGIS examples, and every claim given a check it could fail.
Core Architecture & Regulatory Mapping
Foundational pipeline architecture: ingestion, predicate translation, threshold enforcement, scoping, geometry validation and topology repair, and resolving which authority governs a parcel.
Explore →Rule Engine Design
Declarative rule modeling, dynamic setbacks, FAR/height logic, overlay routing, async execution patterns, and handling variances and exceptions without hiding them in control flow.
Explore →Spatial Analysis Pipelines
Density grids, proximity & buffer overlap, land use intersection, cloud-native formats for county-scale reads, and batch processing optimization at scale.
Explore →Reporting & Audit Trails
Audit-ready reports, validation logs, tamper-evident compliance certificates, end-to-end data lineage tracking, and the regression suites that gate a release.
Explore →Start here
These implementation guides cover the highest-value tasks — practical walkthroughs you can apply directly to a production compliance pipeline.
Latest additions
The newest topic areas on the site, each with its own set of implementation guides. They cover the parts of a compliance pipeline that only become visible once it is running against real data at scale — bad geometry, competing authorities, exceptions, county-sized reads, and proving a release did not silently change a verdict.
All sections
The site is organised into four main sections. Each section opens with a long-form architecture guide, and the articles beneath it are standalone deep-dives on specific implementation patterns.
Core Architecture & Regulatory Mapping
Foundational pipeline architecture: ingestion, predicate translation, threshold enforcement, scoping, geometry validation and topology repair, and resolving which authority governs a parcel.
Rule Engine Design
Declarative rule modeling, dynamic setbacks, FAR/height logic, overlay routing, async execution patterns, and handling variances and exceptions without hiding them in control flow.
Spatial Analysis Pipelines
Density grids, proximity & buffer overlap, land use intersection, cloud-native formats for county-scale reads, and batch processing optimization at scale.
Reporting & Audit Trails
Audit-ready reports, validation logs, tamper-evident compliance certificates, end-to-end data lineage tracking, and the regression suites that gate a release.