CRAN/E | sdcSpatial

sdcSpatial

Statistical Disclosure Control for Spatial Data

Installation

About

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.

github.com/edwindj/sdcSpatial
Bug report File report

Key Metrics

Version 0.5.2
R ≥ 3.5.0
Published 2022-03-24 770 days ago
Needs compilation? no
License GPL-2
CRAN checks sdcSpatial results

Downloads

Yesterday 12 +200%
Last 7 days 63 +11%
Last 30 days 170 +10%
Last 90 days 445 -35%
Last 365 days 2.160 -30%

Maintainer

Maintainer

Edwin de Jonge

edwindjonge@gmail.com

Authors

Edwin de Jonge

aut / cre

Peter-Paul de Wolf

aut

Douwe Hut

ctb

Sapphire Han

ctb

Material

NEWS
Reference manual
Package source

In Views

OfficialStatistics

Vignettes

Introduction sdcSpatial: privacy protected density maps

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

sdcSpatial archive

Depends

R ≥ 3.5.0

Imports

raster
methods

Suggests

testthat
knitr
rmarkdown
sp
sf
FNN