本条目介绍了将空间思维与原则融入空间显式机器学习、深度学习及 GeoAI 基础模型开发，以及构建地理空间知识图谱的方法。空间显式 AI 方法的进展有利于人工智能和地理科学两个领域。

This entry introduces the approaches to incorporating spatial thinking and principles into the development of spatially explicit machine learning, deep learning, and GeoAI foundation models, as well as into constructing geospatial knowledge graphs. The advancement in spatially explicit AI methods benefits both AI and geographic science communities.