Geographically intelligent disclosure control for flexible aggregation of census data
Geographically intelligent disclosure control for flexible aggregation of census data
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DOI：
10.1080/13658810801949835
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发表时间：
2009-04
影响因子：
5.7
通讯作者：
Caroline Young;David J. Martin;C. Skinner
中科院分区：
文献类型：
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作者：
Caroline Young;David J. Martin;C. Skinner
本文介绍了一种地理智能方法来保护灵活聚合的人口普查数据的披露控制。分析能力的提高刺激了用户对更小地理区域和定制边界的更详细信息的需求。因此，至关重要的是，必须制定更好的统计披露控制方法，以防范日益增加的披露风险。传统的统计披露控制方法在本质上是无空间的。在这里，我们提出了一个地理智能的方法，考虑到风险的空间分布。我们描述了实证工作，说明了这种新方法的灵活性，称为局部密度交换，是一种改进的替代随机记录交换的风险效用。
This paper describes a geographically intelligent approach to disclosure control for protecting flexibly aggregated census data. Increased analytical power has stimulated user demand for more detailed information for smaller geographical areas and customized boundaries. Consequently, it is vital that improved methods of statistical disclosure control are developed to protect against the increased disclosure risk. Traditionally methods of statistical disclosure control have been aspatial in nature. Here we present a geographically intelligent approach that takes into account the spatial distribution of risk. We describe empirical work illustrating how the flexibility of this new method, called local density swapping, is an improved alternative to random record swapping in terms of risk–utility.