Crandore Hub

sdcSpatial

Statistical Disclosure Control for Spatial Data

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>.

Versions across snapshots

VersionRepositoryFileSize
0.6.1 rolling linux/jammy R-4.5 sdcSpatial_0.6.1.tar.gz 1.8 MiB
0.6.1 rolling linux/noble R-4.5 sdcSpatial_0.6.1.tar.gz 1.8 MiB
0.6.1 rolling source/ R- sdcSpatial_0.6.1.tar.gz 1.7 MiB
0.6.1 latest linux/jammy R-4.5 sdcSpatial_0.6.1.tar.gz 1.8 MiB
0.6.1 latest linux/noble R-4.5 sdcSpatial_0.6.1.tar.gz 1.8 MiB
0.6.1 latest source/ R- sdcSpatial_0.6.1.tar.gz 1.7 MiB
0.6.1 2026-04-26 source/ R- sdcSpatial_0.6.1.tar.gz 1.7 MiB
0.6.1 2026-04-23 source/ R- sdcSpatial_0.6.1.tar.gz 1.7 MiB
0.6.1 2026-04-09 windows/windows R-4.5 sdcSpatial_0.6.1.zip 1.8 MiB
0.6.1 2025-04-20 source/ R- sdcSpatial_0.6.1.tar.gz 1.7 MiB

Dependencies (latest)

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