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Spatial Smoothing and Statistical Disclosure Control

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9867))

Abstract

Cartographic maps have many practical uses and can be an attractive alternative for disseminating detailed frequency tables. However, a detailed map may disclose private data of individual units of a population. We will describe some smoothing algorithms to display spatial distribution patterns. In certain situations, the disclosure risk of a spatial distribution pattern, can be formulated in terms of a frequency table disclosure problem. In this paper we will explore the effects of spatial smoothing related to statistical disclosure control.

The views expressed in this paper are those of the authors and do not necessarily reflect the policy of Statistics Netherlands.

The authors like to thank Ton de Waal for reviewing an earlier version of this paper.

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Correspondence to Peter-Paul de Wolf .

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de Jonge, E., de Wolf, PP. (2016). Spatial Smoothing and Statistical Disclosure Control. In: Domingo-Ferrer, J., Pejić-Bach, M. (eds) Privacy in Statistical Databases. PSD 2016. Lecture Notes in Computer Science(), vol 9867. Springer, Cham. https://doi.org/10.1007/978-3-319-45381-1_9

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  • DOI: https://doi.org/10.1007/978-3-319-45381-1_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45380-4

  • Online ISBN: 978-3-319-45381-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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