sensitivity_score: Mean sensitivity for raster

In sdcSpatial: Statistical Disclosure Control for Spatial Data

Mean sensitivity for raster

Description

sensitivity_score calculates the fraction of cells (with a value) that are considered sensitive according to the used disclosure_risk

Usage

sensitivity_score(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

See Also

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

Examples

consumption <- sdc_raster(dwellings[1:2], variable = dwellings$consumption, r = 500)

sensitivity_score(consumption)
# same as
print(consumption)

# change the rules! A higher norm generates more sensitive cells
sensitivity_score(consumption, min_count = 20)

sdcSpatial documentation built on March 24, 2022, 5:05 p.m.