Remove sensitive cells from raster

remove_sensitive removes sensitive cells from a sdc_raster. The sensitive cells, as found by is_sensitive() are set to NA.

Usage

remove_sensitive(x, max_risk = x$max_risk, min_count = x$min_count, ...)

mask_sensitive(x, max_risk = x$max_risk, min_count = x$min_count, ...)

Arguments

x

sdc_raster object.

max_risk

a risk value higher than max_risk will be sensitive.

min_count

a count lower than min_count will be sensitive.

...

passed on to is_sensitive.

Value

sdc_raster object with sensitive cells set to NA.

Details

Removing sensitive cells is a protection method, which often is useful to finalize map protection after other protection methods have been applied. mask_sensitive and remove_sensitive are synonyms, to accommodate both experienced raster users as well as sdc users.

See also

Other sensitive: disclosure_risk(), is_sensitive_at(), is_sensitive(), plot_sensitive(), sdc_raster(), sensitivity_score()

Other protection methods: protect_quadtree(), protect_smooth()

Examples

# \donttest{
library(raster)

unemployed <- sdc_raster(dwellings[1:2], dwellings$unemployed, r=200)

# plot the normally rastered data
plot(unemployed, zlim=c(0,1))

plot_sensitive(unemployed)


unemployed_safe <- remove_sensitive(unemployed, risk_type="discrete")
plot_sensitive(unemployed_safe, zlim=c(0,1))

print(unemployed)
#> logical sdc_raster object: 
#>    resolution: 200 200 ,  max_risk: 0.95 , min_count: 10 
#>    mean sensitivity score [0,1]:  0.4572576
unemployed$value
#> class      : RasterStack 
#> dimensions : 62, 61, 3782, 4  (nrow, ncol, ncell, nlayers)
#> resolution : 200, 200  (x, y)
#> extent     : 149400, 161600, 457800, 470200  (xmin, xmax, ymin, ymax)
#> crs        : NA 
#> names      : sum, count, mean, scale 
#> min values :   0,     1,    0,     1 
#> max values : 195,   329,    1,     1 
#> 
# }