Safely Plotting Continuous Variables on a Map

  • Peter-Paul de WolfEmail author
  • Edwin de Jonge
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11126)


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.


Cartographic map Disclosure risk Spatial distribution Continuous variable 


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Statistics NetherlandsThe HagueThe Netherlands

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