AQuadtree: Confidentiality of Spatial Point Data

Provides an automatic aggregation tool to manage point data privacy, intended to be helpful for the production of official spatial data and for researchers. The package pursues the data accuracy at the smallest possible areas preventing individual information disclosure. The methodology, based on hierarchical geographic data structures performs aggregation and local suppression of point data to ensure privacy as described in Lagonigro, R., Oller, R., Martori J.C. (2017) <doi:10.2436/20.8080.02.55>. The data structures are created following the guidelines for grid datasets from the European Forum for Geography and Statistics.

Version: 1.0.2
Depends: R (≥ 3.3.2), methods, stats, sp, dplyr
Suggests: rgeos, rgdal, knitr, devtools, rmarkdown
Published: 2020-09-08
Author: Raymond Lagonigro ORCID iD [aut, cre], Ramon Oller ORCID iD [aut], Joan Carles Martori ORCID iD [aut]
Maintainer: Raymond Lagonigro <raymond.lagonigro at uvic.cat>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: AQuadtree results

Downloads:

Reference manual: AQuadtree.pdf
Vignettes: Quadtree anonymization of point data
Package source: AQuadtree_1.0.2.tar.gz
Windows binaries: r-devel: AQuadtree_1.0.2.zip, r-release: AQuadtree_1.0.2.zip, r-oldrel: AQuadtree_1.0.2.zip
macOS binaries: r-release: AQuadtree_1.0.2.tgz, r-oldrel: AQuadtree_1.0.2.tgz
Old sources: AQuadtree archive

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