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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Description/Abstract

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.

Item Type: Article
Digital Object Identifier (DOI): doi:10.1080/13658810801949835
ISSNs: 1365-8816 (print)
1365-8824 (electronic)
Related URLs:
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
ePrint ID: 66769
Accepted Date and Publication Date:
Status
April 2009Published
Date Deposited: 20 Jul 2009
Last Modified: 31 Mar 2016 12:53
URI: http://eprints.soton.ac.uk/id/eprint/66769

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