Abstract
A plotted spatial distribution of a variable is an interesting type of statistical output favored by many users. Examples include the spatial distribution of people that make use of child care, of the amount of electricity used by businesses or of the exhaust of certain gasses by industry. However, a spatial distribution plot may be exploited to link information to a single unit of interest. Traditional disclosure control methods and disclosure risk measures can not readily be applied to this type of maps. In previous papers [5, 6] we discussed plotting the distribution of a dichotomous variable on a cartographic map. In the present paper we focus on plotting a continuous variable and derive a suitable risk measure, that not only detects unsafe areas, but also contains a recipe to repair them. We apply the risk measure to the spatial distribution of the energy consumption of enterprises to test and describe its properties.
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 Rob van de Laar and Anne Miek Kremer for reviewing an earlier version of this paper.
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de Wolf, PP., de Jonge, E. (2018). Safely Plotting Continuous Variables on a Map. In: Domingo-Ferrer, J., Montes, F. (eds) Privacy in Statistical Databases. PSD 2018. Lecture Notes in Computer Science(), vol 11126. Springer, Cham. https://doi.org/10.1007/978-3-319-99771-1_23
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DOI: https://doi.org/10.1007/978-3-319-99771-1_23
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