This gem describes a standard method for generating synthetic spatial data that can be used in benchmarking and scalability tests. The goal is to improve the reproducibility and increase the trust in experiments on synthetic data by using standard widely acceptable dataset distributions. In addition, this article describes how to assign a unique identifier to each synthetic dataset that can be shared in papers for reproducibility of results. Finally, this gem provides a supplementary material that gives a reference implementation for all the provided distributions.

翻译：该宝石描述一种生成合成空间数据的标准方法,可用于基准和可缩放性测试,目的是通过使用可得到广泛接受的标准数据集分布方法,改进合成数据的可复制性,提高对合成数据实验的信任,此外,本条还描述了如何为每个合成数据集指定一个独特的标识符,用于在文件中共享,以便复制结果。最后,该宝石提供了补充材料,为所提供的所有分布提供参考执行。