GeoAutoModuler: a knowledge–enhanced large language model for heterogeneous geospatial code understanding and knowledge extraction
In the era of geospatial big data, massive geospatial modeling scripts have accumulated across the Internet and have become essential carriers of modeling knowledge. However, these scripts are often unstructured and heterogeneous in terms of semantics and logic, making their embedded knowledge diffi...
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| Asıl Yazarlar: | , , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Taylor & Francis Group
2026-07-01
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| Seri Bilgileri: | Big Earth Data |
| Konular: | |
| Online Erişim: | https://www.tandfonline.com/doi/10.1080/20964471.2026.2689760 |
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