AI RESEARCH
GeoContra: From Fluent GIS Code to Verifiable Spatial Analysis with Geography-Grounded Repair
arXiv CS.AI
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ArXi:2605.00782v1 Announce Type: cross Reliable spatial analysis in GIScience requires preserving coordinate semantics, topology, units, and geographic plausibility. Current LLM-based GIS systems generate fluent scripts but rarely enforce these geographic rules at scale. We present GeoContra, a verification and repair framework for LLM-driven Python GIS workflows. It represents each task as an executable geospatial contract-including natural-language questions, schemas, CRS metadata, expected outputs, spatial predicates, topology, metrics, required operations, and forbidden shortcuts.