Spatial Representations for Artificial Intelligence (srai) is a Python library for working with geospatial data. The library can download geospatial data, split a given area into micro-regions using multiple algorithms and train an embedding model using various architectures. It includes baseline models as well as more complex methods from published works. Those capabilities make it possible to use srai in a complete pipeline for geospatial task solving. The proposed library is the first step to standardize the geospatial AI domain toolset. It is fully open-source and published under Apache 2.0 licence.

翻译：Spatial Representations for Artificial Intelligence (srai) 是一个用于处理地理空间数据的Python库。该库可下载地理空间数据，通过多种算法将指定区域划分为微区域，并利用不同架构训练嵌入模型。它包含基线模型以及来自已发表论文的复杂方法。这些功能使srai能够用于地理空间任务解决的完整流程。该库是实现地理空间人工智能领域工具集标准化的第一步，完全开源并基于Apache 2.0许可证发布。