Population space distribution partition fine simulation method

The invention discloses a subarea fine simulation method for spatial distribution of population, relates to the technical field of spatial distribution simulation of population, and aims to automatically perform spatial optimization on an area division scheme through a random subarea initialization scheme on the basis of a geographic space artificial intelligence technology, ensure scientificity and effectiveness of subarea division and improve the accuracy of subarea division. Then, based on the optimized partitioning scheme, a regression model is fitted for each sub-region for population spatialization, and compared with the prior art that a research region is directly divided into a high-density region and a low-density region, the accuracy of region division can be improved, and the precision of a simulation result can be improved. 本发明公开了一种人口空间分布分区精细模拟方法，涉及人口空间分布模拟技术领域，以地理空间人工智能技术为基础，通过随机的分区初始化方案自动对区域划分方案进行空间优化，确保子区域划分的科学性和有效性，然后基于优化后的分区方案，为每个子区域分别拟合回归模型进行人口空间化，相比于现有技术直接将研究区划分为高密度区域和低密度区域，能够提高区域划分的准确性以及提高