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：本文旨在描述开发一种合成人口数据集的过程，该数据集具有开放性和真实性，并可用于促进对制图过程的了解和背景化地图制品。我们首先讨论一种优化模型，该模型旨在通过最小化综合信息与人口普查数据表中发布的统计数据之间的差异来构造合成的人口群体。然后，我们说明如何使用该合成人口数据集来背景化使用隐私保护人口普查数据制作的地图。俄亥俄州的两个县被用作案例研究。