期刊名称：Journal of Artificial Societies and Social Simulation
印刷版ISSN：1460-7425
出版年度：2012
卷号：15
期号：1
页码：1-27
DOI：10.18564/jasss.1909
出版社：University of Surrey, Department of Sociology
摘要：There are several established methodologies for generating synthetic populations. These include deterministic reweighting, conditional probability (Monte Carlo simulation) and simulated annealing. However, each of these approaches is limited by, for example, the level of geography to which it can be applied, or number of characteristics of the real population that can be replicated. The research examines and critiques the performance of each of these methods over varying spatial scales. Results show that the most consistent and accurate populations generated over all the spatial scales are produced from the simulated annealing algorithm. The relative merits and limitations of each method are evaluated in the discussion.
关键词：Conditional Probability; Deterministic Reweighting; Population Synthesis; Simulated Annealing; Spatial Scales
