How to evaluate geospatial AI for city planning
A practical framework for testing spatial reasoning, data selection, tool calls and GIS-ready outputs, and turning failures into an improvement roadmap.
LGM Publications
Ideas grounded in geography.
How geospatial data, AI and spatial computation come together—and what you can build with them.
Geospatial agents need more than a language model
Understand how orchestration and agent harnesses connect planning, data retrieval, spatial tools and verification in a geospatial AI workflow.
From a 3D city to a decision: geospatial AI for digital twins
Explore how LGM can complement digital twins with territorial context, spatial analysis and traceable results without replacing the existing platform.
Geospatial site selection: from a business question to a shortlist
Explore how LGM can structure site selection around demand, accessibility, competition and constraints, with evidence that explains every candidate.
Private geospatial data: bringing local knowledge into LGM
See how project uploads, shared collections and public LGM layers can work together, and what to clarify before using private data in spatial analysis.
What is LGM? A guide to the Large Geospatial Model
Learn how LGM connects geospatial data, spatial computation and AI to turn territorial questions into evidence, map-ready layers and practical decisions.
Geospatial RAG: connecting AI answers to real places
Discover how LGM uses Geospatial RAG to combine spatial context, data retrieval and GIS tools for answers grounded in a specific territory.
Connecting geospatial AI through MCP and API
See how LGM fits into AI-agent and application workflows through MCP and API, from choosing a study area to returning usable geospatial results.
Raster and vector data: the foundation of geospatial AI
Understand how LGM combines raster and vector layers, cloud-oriented formats and private collections to support meaningful geospatial analysis.
Tbilisi: turning a citywide question into spatial priorities
Explore what LGM’s Tbilisi investigation revealed about urban access, infrastructure and site selection—and how to turn screening into local validation.