r-tangles

condav2.0.1

Spatial data anonymization preserves confidentiality. Using methods described in Zandbergen (2014) <doi:10.1155/2014/567049>, spatial data anonymization is achieved by dithering original spatial coordinates with combinations of randomized vertical, horizontal and rotational shifts. This can apply to non-grid spatial point patterns and raster objects, and the methods preserve the same spatial characteristics and relationships of the original data. Unique hash keying enables data subjected to anonymization sequences to be re-identified where required.

License GPL-2.0-only2 versions1 maintainers0 deps71 weekly dl
46
/ 100
Health
safe to use

[email protected] is safe to use (health: 46/100)

Health breakdown0 – 100
10/25
maintenance
0/20
popularity
25/25
security
9/15
maturity
2/15
community
Vulnerabilities
0
none known

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First published · 2021-07-29 14:09:09.636000+00:00

Last updated · 2025-10-02 07:12:39.539000+00:00