Statistical Disclosure Control for Spatial Data
Create a raster at a certain resolution
Calculate disclosure risk for raster cells
Calculate sensitivity from a sdc_raster at x,y locations.
Return raster with sensitive locations.
Mask coordinates using a grid
Mask coordinates using random pertubation
Mask coordinates using voronoi masking
Mask coordinates using weighted random pertubation
returns one but highest contribution
Plot the sensitive cells of the sdc_raster.
Plot a sdc_raster object
protects raster by summing over the neighborhood
Protect a raster with a quadtree method.
Protect a sdc_raster by smoothing
Remove sensitive cells from raster
Create a raster map with privacy awareness
Privacy Protected maps
Mean sensitivity for raster
Create kde density version of a raster
Remove revealing high and low values
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) <doi:10.1007/978-3-319-45381-1_9>, continuous variables by de Wolf and de Jonge (2018) <doi:10.1007/978-3-319-99771-1_23>, suppressing revealing values and a generalization of the quad tree method by Suñé, Rovira, Ibáñez and Farré (2017) <doi:10.2901/EUROSTAT.C2017.001>.