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sdcSpatial
View on CRAN: Click
here
Download and install sdcSpatial package within the R console
Install from CRAN:
install.packages("sdcSpatial")
Install from Github:
library("remotes")
install_github("cran/sdcSpatial")
Install by package version:
library("remotes")
install_version("sdcSpatial", "0.5.2")
Attach the package and use:
library("sdcSpatial")
Maintained by
Edwin de Jonge
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-03
Latest Update: 2022-03-24
Description:
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
How to cite:
Edwin de Jonge (2019). sdcSpatial: Statistical Disclosure Control for Spatial Data. R package version 0.5.2, https://cran.r-project.org/web/packages/sdcSpatial. Accessed 18 Mar. 2025.
Previous versions and publish date:
Other packages that cited sdcSpatial R package
View sdcSpatial citation profile
Other R packages that sdcSpatial depends,
imports, suggests or enhances
Complete documentation for sdcSpatial
Functions, R codes and Examples using
the sdcSpatial R package
Some associated functions: create_raster . disclosure_risk . dwellings . enterprises . is_sensitive . is_sensitive_at . mask_grid . mask_random . mask_voronoi . mask_weighted_random . max2 . plot.sdc_raster . plot_sensitive . protect_neighborhood . protect_quadtree . protect_smooth . remove_sensitive . sdcSpatial-package . sdc_raster . sensitivity_score . smooth_raster . topdown_code .
Some associated R codes: create_raster.R . disclosure_risk.R . dwellings.R . enterprises.R . is_sensitive.R . is_sensitive_at.R . mask_grid.R . mask_random.R . mask_voronoi.R . mask_weighted_random.R . max2.R . mean.R . plot.R . protect_coarsen.R . protect_neighborhood.R . protect_quadtree.R . protect_smooth.R . remove_sensitive.R . sdcSpatial-package.R . sdc_raster.R . sensitivity_score.R . smooth_raster.R . summary.R . topdown_code.R . Full sdcSpatial package functions and examples
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