sdcSpatial (0.1.1)

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Statistical Disclosure Control for Spatial Data.

https://github.com/edwindj/sdcSpatial
http://cran.r-project.org/web/packages/sdcSpatial

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) , continuous variables by de Wolf and de Jonge (2018) , suppressing revealing values and a generalization of the quad tree method by Su, Rovira, Ibez and Farr (2017) .

Maintainer: Edwin de Jonge
Author(s): Edwin de Jonge [aut, cre] (<https://orcid.org/0000-0002-6580-4718>), Peter-Paul de Wolf [aut], Sapphire Han [ctb]

License: GPL-2

Uses: raster, sp, testthat, knitr, rmarkdown, sf

Released 4 months ago.


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Related packages: Amelia, Hmisc, MatchIt, cat, foreign, ineq, lme4, memisc, mice, mitools, mix, nlme, norm, pan, pps, reweight, sampling, sdcMicro, spsurvey, survey(20 best matches, based on common tags.)


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