City Editing: Hierarchical Agentic Execution for Dependency-Aware Urban Geospatial Modification

Researchers have developed a hierarchical AI agent system that can automatically modify urban planning layouts using natural language instructions and GeoJSON data. The system decomposes editing tasks into geometric operations across multiple spatial levels and includes validation mechanisms to ensure spatial consistency during multi-step urban modifications.