This work presents the cubature scheme for the fitting of spatio-temporal Poisson point processes. The methodology is implemented in the R Core Team (2024) package stopp (D'Angelo and Adelfio, 2023), published on the Comprehensive R Archive Network (CRAN) and available from https://CRAN.R-project.org/package=stopp. Since the number of dummy points should be sufficient for an accurate estimate of the likelihood, numerical experiments are currently under development to give guidelines on this aspect.

翻译：本文提出了用于拟合时空泊松点过程的数值积分方案。该方法已在R Core Team（2024）发布的stopp软件包（D'Angelo and Adelfio, 2023）中实现，该软件包已在综合R存档网络（CRAN）上发布，可从https://CRAN.R-project.org/package=stopp获取。由于虚拟点的数量应足以精确估计似然函数，目前正在进行数值实验，以就此方面提供指导原则。