sdcSpatial (version 0.6.1)

sensitivity_score: 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(), is_sensitive_at(), plot_sensitive(), remove_sensitive(), sdc_raster()

Examples

# \donttest{
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)
# }