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sdcSpatial

0.6.1Package record

Statistical Disclosure Control for Spatial Data

0packages depend
3Kdownloads / year
38.1%test coverage
13/13flavors OK

Overview

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.

Changes in 0.6.1
  • Fixed max_zoom level specification issue #12 for protect_quadtree.

max_zoom = 2 resulted earlier in max_zoom = 1. Thanks to Martin Moehler (@mamoeh).

  • Added earlier stopping criterion for protect_quadtree. Thanks to Martin Moehler (@mamoeh).
  • fixed a bug in protect_quadtree that caused an invalid sensitive count (scale), issue #14. Thanks to Martin Mohler (@mamoeh).
  • fixed a bug in protect_quadtree that was caused sometimes by raster::cover in which the names of the layers were dropped. Thanks to Michael Buchner
  • fixed documentation links (to raster)

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.6.1
README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.6.1Citation fileNo
Help pages
22 (3 internal)includes a package overview page
Examples that run
29%4 run in a plain check · 9 only when donttest examples are enabled (R CMD check --as-cran) · 1 hold no code
Exported functions with examples
80%
Documented parameters
96%
Return-value docs
60%
Help pages citing references
18%

Downloads

3K
CRAN downloads in the past year
Rank #14,394 · ~8/day · ~248/mo
Daily download trend is not available in this view yet.
35930 days
82690 days
3K1 year
Compare downloads with other packages →
Also on431 r2u6 autocran125 c2d4u

Repository

9Stars
3Forks
12Open issues
0Open PRs
0Releases
134Commits
1Commit identities
134 commits · Last activity 2025-03-17 · 0% stars, 30d · Default branch at 0.6.9.9000, ahead of CRAN 0.6.1 (checked 2026-10-21)
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
63
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2024-09-02 · 82026-07-07 · 9
PracticesBeta

8 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/edwindj/sdcspatial on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2025-03-17 · The repository has a site deploy workflow

Reproducibility and dev environment (1)
data-raw/
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing sdcSpatial adds 4 packages (4 with compiled code, 8.1 MB of source tarballs). Heaviest: sp 4.3 MB, Rcpp 1.8 MB, terra 1.5 MB.

Depends (1)
R >= 3.5.0
Imports (2)
rastermethods
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 0.1.0 (2019)
Contributor
Contributor · added in 0.5.2
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.6.1Latest
    record
    2025-03-15 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.5.2
    record
    2022-03-24 · diff ↗ ·
    added 6 exports
    is_sensitive_at, mask_grid, mask_random, mask_voronoi, mask_weighted_random, protect_neighborhood
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.1
    record
    2019-07-19 · diff ↗
  • 0.1.0
    record
    2019-07-03
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-07-03
Total releases
4 / 7 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
995 KB / 2 files
Download size
1.8 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sdcSpatial")
de Jonge, E., Han, S., Hut, D., & de Wolf, P. (2025). sdcSpatial: Statistical Disclosure Control for Spatial Data (Version 0.6.1) [Computer software]. https://doi.org/10.32614/CRAN.package.sdcSpatial

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for sdcSpatial version 0.6.1 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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