In edwindj/sdcSpatial: Statistical Disclosure Control for Spatial Data

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sdcSpatial

Publishing a raster density map can reveal sensitive values. sdcSpatial is an opensource R package for creating spatial density (raster) maps from point data while protecting the privacy of individual observations.

sdcSpatial offers a sdc_raster class that allows to:

• find out which locations are considered sensitive / unsafe for publishing: plot_sensitive, is_sensitive, sensitivity_score.
• apply protection methods that reduce sensitiviy and enhance spatial patterns: protect_smooth, protect_quadtree.
• remove sensitive locations: remove_sensitive.
• extract relative as well as absolute density rasters that can be used with visualisation packages, such as tmap and leaflet: x$value$mean, x$value$sum, mean, sum.

Installation

install.packages("sdcSpatial")

To install the current development version of sdcSpatial with devtools

remotes::install_github("edwindj/sdcSpatial")

Example

edwindj/sdcSpatial documentation built on April 13, 2025, 1:57 a.m.