尽管存在其他替代方案（例如 space2vec），但其效率较低、表达能力较弱，且在人工智能时代更难与大型模型集成。其次，地理空间基础模型（GeoFM）的发展可能为解决可迁移性挑战提供潜在方案。

Although alternatives exist (e.g., space2vec), they are less efficient, expressive, and harder to integrate with large models in the AI era. Second, the development of Geospatial Foundation Model (GeoFM) could offer a potential solution to the challenge of transferability.