Cookies?
Library Header Image
LSE Research Online LSE Library Services

Geographically intelligent disclosure control for flexible aggregation of census data

Young, Caroline, Martin, David and Skinner, Chris J. (2009) Geographically intelligent disclosure control for flexible aggregation of census data. International Journal of Geographical Information Science, 23 (4). pp. 457-482. ISSN 1365-8816

Full text not available from this repository.
Identification Number: 10.1080/13658810801949835

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
Official URL: http://www.tandf.co.uk/journals/tgis
Additional Information: © 2009 Taylor & Francis
Divisions: Statistics
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
H Social Sciences > HA Statistics
Date Deposited: 28 Oct 2011 15:11
Last Modified: 14 Feb 2024 07:33
URI: http://eprints.lse.ac.uk/id/eprint/39115

Actions (login required)

View Item View Item