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>.">

sdcSpatial: Statistical Disclosure Control for Spatial Data (original) (raw)

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>.

Version: 0.6.1
Depends: R (≥ 3.5.0)
Imports: raster, methods
Suggests: testthat, knitr, rmarkdown, sp, sf, FNN
Published: 2025-03-15
DOI: 10.32614/CRAN.package.sdcSpatial
Author: Edwin de Jonge ORCID iD [aut, cre], Peter-Paul de Wolf [aut], Douwe Hut [ctb], Sapphire Han [ctb]
Maintainer: Edwin de Jonge
BugReports: https://github.com/edwindj/sdcSpatial/issues
License: GPL-2
URL: https://github.com/edwindj/sdcSpatial
NeedsCompilation: yes
Materials: NEWS
In views: OfficialStatistics
CRAN checks: sdcSpatial results

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