Statistical Disclosure Control for Spatial Data

Privacy protected raster maps can be created from spatial point data. Protection methods include smoothing of dichotomous variables by de Jonge and de Wolf (2016) , continuous variables by de Wolf and de Jonge (2018) , suppressing revealing values and a generalization of the quad tree method by Suñé, Rovira, Ibáñez and Farré (2017) .


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Reference manual

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install.packages("sdcSpatial")

0.1.1 by Edwin de Jonge, 7 months ago


https://github.com/edwindj/sdcSpatial


Report a bug at https://github.com/edwindj/sdcSpatial/issues


Browse source code at https://github.com/cran/sdcSpatial


Authors: Edwin de Jonge [aut, cre] , Peter-Paul de Wolf [aut] , Sapphire Han [ctb]


Documentation:   PDF Manual  


Task views: Official Statistics & Survey Methodology


GPL-2 license


Imports raster, methods

Suggests testthat, knitr, rmarkdown, sp, sf


See at CRAN