The purpose of this paper is to describe the development of a synthetic population dataset that is open and realistic and can be used to facilitate understanding the cartographic process and contextualizing the cartographic artifacts. We first discuss an optimization model that is designed to construct the synthetic population by minimizing the difference between the summarized information of the synthetic populations and the statistics published in census data tables. We then illustrate how the synthetic population dataset can be used to contextualize maps made using privacy-preserving census data. Two counties in Ohio are used as case studies.

翻译：本文旨在描述一种开放且真实的合成人口数据集的开发过程，该数据集可用于促进对制图过程的理解并情境化制图产物。我们首先讨论一种优化模型，该模型通过最小化合成人口汇总信息与人口普查数据表中发布的统计量之间的差异来构建合成人口。随后，我们说明如何利用该合成人口数据集对基于隐私保护人口普查数据制作的地图进行情境化分析。研究以俄亥俄州两个县作为案例。