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) . The data structures are created following the guidelines for grid datasets from the European Forum for Geography and Statistics.


Reference manual

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1.0.2 by Raymond Lagonigro, a year ago

Browse source code at

Authors: Raymond Lagonigro [aut, cre] , Ramon Oller [aut] , Joan Carles Martori [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Depends on methods, stats, sp, dplyr

Suggests rgeos, rgdal, knitr, devtools, rmarkdown

See at CRAN