Heritage GIS Architecture & Fundamentals
Scalable, reproducible spatial infrastructure: CRS rigor, governance, metadata, and orchestration patterns for archaeological research.
Automated workflows for archaeologists, heritage managers, and Python GIS developers.
Archaeological projects accumulate complex spatial records across field campaigns, photogrammetric reconstructions, laboratory catalogues, and regulatory deliverables. This resource collects production-grade patterns for engineering those workflows into reproducible, audit-ready pipelines.
Written for archaeologists, heritage managers, Python GIS developers, and academic research teams. Every chapter targets a discrete operational step — from CRS hygiene and PostGIS schema design, to drone ingestion, mesh optimization, and FAIR-aligned metadata.
The site is organised around three pillars that mirror the lifecycle of a heritage GIS programme: foundations and governance, 3D documentation pipelines, and the spatial databases that hold the evidence.
Scalable, reproducible spatial infrastructure: CRS rigor, governance, metadata, and orchestration patterns for archaeological research.
Drone ingestion, dense reconstruction, UV-aware texturing, and batch orchestration for production-grade 3D site mapping.
PostGIS schemas, topological modelling, attribute synchronization and query optimization for multi-season excavation datasets.
Each article ships Python snippets, SQL fragments, and architectural diagrams that can be lifted directly into production. Code blocks include a copy button and inline checklists are interactive — tick items off as you implement them.