论文标题
开发综合个人级人口数据集：隐私保护数据的情境化图的情况
Developing synthetic individual-level population datasets: The case of contextualizing maps of privacy-preserving census data
论文作者
论文摘要
本文的目的是描述开放且现实的合成人口数据集的开发，可用于促进制图过程并背景化制图伪影。我们首先讨论一个优化模型，该模型旨在通过最大程度地减少合成人群的汇总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建合成人群。然后，我们说明如何使用合成人口数据集使用隐私人口普查数据来将图上的地图上下文化。俄亥俄州的两个县用作案例研究。
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.
