tangler: Spatial point patterns and raster objects anonymized with a...

In tangles: Anonymization of Spatial Point Patterns and Raster Objects

Description

For a given detangler object, spatial coordinates are anonymized accordingly.

Usage

tangler(data=NULL, tanglerInfo = NULL, raster_object = FALSE, stub = NULL, 
saveTangles = FALSE, path = NULL)

Arguments

data	Can be either a 2 column matrix of spatial coordinates or a raster object.
tanglerInfo	output from tangles which encodes the steps and values of the anonymization process.
raster_object	logical; If TRUE the data to be anonymized is a raster object. This means the data associated with the raster are carried through to the outputs.
stub	Character; A string of user-defined setting for establishing naming conventions.
saveTangles	logical; Save function output to file. Default is FALSE, but it is recommended to always save outputs.
path	character; Path to where outputs are saved.

Value

The transformed coordinates or raster object (dependent on input data).

Note

Outputs can also saved to any specified directory with the hash key associated with the anonymization and user-defined stub in the file name. This will be saved as an .rds file that will also have tanglerXY in the file name.

tangles is coordinate reference system agnostic. Anonymization will proceed regardless of whether data is in geographic or projected space. Anonymized coordinates will not exist in reality, but the spatial properties of the original data will be maintained.

Author(s)

Brendan Malone

References

• CM O'Keefe, S Otorepec, M Elliot, E Mackey, and K O'Hara (2017) The De-Identification Decision Making Framework. CSIRO Reports EP173122 and EP175702.

Examples

## POINT DATA tangles
library(digest)
data("HV_subsoilpH")
str(HV_subsoilpH)
dat.xy<- HV_subsoilpH[,1:2]
xyData<- as.matrix(dat.xy)

# anonymize with 5 levels of abstraction
tangles.out<- tangles(data = xyData, 
depth = 5, 
rasterdata = TRUE, 
raster_object = FALSE,
saveTangles = FALSE)


# tangle associated RASTER DATA
library(raster)
data("hunterCovariates_sub")

tangled.origi<- tangler(data = hunterCovariates_sub, 
tanglerInfo = tangles.out[[2]], 
raster_object = TRUE, 
stub = "hv1", 
saveTangles = FALSE)

tangles documentation built on Oct. 11, 2019, 5:06 p.m.