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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: |
1.0.4 |
| Depends: |
R (≥ 3.3.2), methods, stats, sp (≥ 2.0-0), dplyr |
| Suggests: |
sf, knitr, devtools, rmarkdown |
| Published: |
2023-07-19 |
| DOI: |
10.32614/CRAN.package.AQuadtree |
| Author: |
Raymond Lagonigro 
[aut, cre],
Ramon Oller [aut],
Joan Carles Martori
[aut] |
| Maintainer: |
Raymond Lagonigro <raymond.lagonigro at uvic.cat> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
AQuadtree results |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=AQuadtree
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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