About Anaconda Help Download Anaconda

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.

copied from cf-post-staging / r-tangles
Type Size Name Uploaded Downloads Labels
conda 1.4 MB | noarch/r-tangles-0.8.1-r43hc72bb7e_3.conda  1 year and 7 months ago 1301 main
conda 1.4 MB | noarch/r-tangles-0.8.1-r44hc72bb7e_3.conda  1 year and 7 months ago 1304 main
conda 1.4 MB | noarch/r-tangles-0.8.1-r42hc72bb7e_2.conda  2 years and 9 months ago 1755 main
conda 1.4 MB | noarch/r-tangles-0.8.1-r43hc72bb7e_2.conda  2 years and 9 months ago 1785 main
conda 1.4 MB | noarch/r-tangles-0.8.1-r41hc72bb7e_1.tar.bz2  3 years and 5 months ago 2041 main
conda 1.4 MB | noarch/r-tangles-0.8.1-r42hc72bb7e_1.tar.bz2  3 years and 5 months ago 2061 main
conda 1.4 MB | noarch/r-tangles-0.8.1-r40hc72bb7e_0.tar.bz2  4 years and 8 months ago 2600 main
conda 1.4 MB | noarch/r-tangles-0.8.1-r41hc72bb7e_0.tar.bz2  4 years and 8 months ago 2639 main

© 2026 Anaconda, Inc. All Rights Reserved. (v4.2.15) Legal | Privacy Policy