Geographically intelligent disclosure control for flexible aggregation of census data
Young, Caroline, Martin, David and Skinner, Chris (2009) Geographically intelligent disclosure control for flexible aggregation of census data. International Journal of Geographical Information Science, 23, (4), 457-482. (doi:10.1080/13658810801949835).
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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.
|Keywords:||privacy, census data, spatial analysis, small area geography, quality issues|
|Subjects:||G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
H Social Sciences > HA Statistics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
|Divisions:||University Structure - Pre August 2011 > School of Social Sciences > Social Statistics
University Structure - Pre August 2011 > School of Geography > Remote Sensing and Spatial Analysis
|Date Deposited:||20 Jul 2009|
|Last Modified:||14 Feb 2012 12:31|
|Contributors:||Young, Caroline (Author)
Martin, David (Author)
Skinner, Chris (Author)
|Contact Email Address:||D.J.Martin@soton.ac.uk|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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