Bridging natural language and GIS: a multi-agent framework for LLM-driven autonomous geospatial analysis
Existing LLM-based approaches remain limited by simplistic task execution, restricted tool integration, and a lack of contextual reasoning when interacting with professional GIS software. This study investigates the efficacy of a multi-agent architecture designed to enhance geospatial task execution...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Taylor & Francis Group
2026-01-01
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| Schriftenreihe: | International Journal of Digital Earth |
| Schlagworte: | |
| Online-Zugang: | https://www.tandfonline.com/doi/10.1080/17538947.2026.2633849 |
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