Plan cities with evidence, not disconnected maps.
Spatial planning needs a reliable account of land use, access, constraints, future alternatives and the date of every observation. GeoTwins connects planning knowledge to professional GIS and evolving multi-world technology.
Make planning evidence inspectable.
Before comparing future spatial scenarios, planners need to reconcile parcels, road networks, settlement data, land-use categories and statutory constraints. A digital-twin picture cannot compensate for uncertain source authority or unverified geometry.
- Land-use inventory: maintain source dates, classification rules and georeferenced polygon attributes.
- Site suitability: overlay selected development constraints using defensible weights and documented exclusions.
- Accessibility: evaluate geographic access to networks and facilities without assuming network travel time from straight-line distance.
- Alternatives: distinguish observed or approved plans from proposed or hypothetical development.
A reproducible land-cover method.
Our technical example shows how to compare two small synthetic categorical grids and count transitions. It is deliberately independent of satellite data, so anyone can check the arithmetic. Real land-cover change studies additionally require acquisition dates, sensor and season comparability, spatial resolution, georeferencing and classification accuracy.
From maps toward traceable spatial worlds.
AGOT's long-term architecture aims to retain observed geographic state and allow bounded scenario forks with source provenance. Such scenario functionality needs real installed-app acceptance and appropriate planning review. Our initial commercial wedge is a repeatable workflow for infrastructure and urban planning, not an unsupported promise that every land-use model is already turnkey.
Evaluate a real geospatial workflow.
Start with your available data, desired decision, security constraints and measurable acceptance criteria. No unverified capability or client result is implied.