detangler_data

<p>This output that would be derived from the <code>tangles</code> function. It contains the instructions for anonymisation of associated point pattern or raster data, or the re-identify tangled data.</p>

datasets

Methods for anonymisation of spatial datasets while preserving spatial structure and relationships. Original coordinates or raster geometries are transformed using randomized or predefined vertical shifts, horizontal shifts, and rotations. Compatible with point-based data in 'matrix', 'data.frame', or 'sf' formats, as well as 'terra' raster objects. Supports reversible anonymisation workflows, hash-based validation, shapefile export, and consistent tangling across related datasets using stored transformation sequences. Approach informed by the De-Identification Decision Making Framework (CM O’Keefe, S Otorepec, M Elliot, E Mackey, and K O’Hara 2017) <doi:10.4225/08/59c169433efd4>.

Brendan Malone

tangles

Anonymisation of Spatial Point Patterns and Grids

detangler_data function

<p><code>detangler_data</code> is a <code>list</code> with 3 elements. The first element is a unique hash key for tracking data processing provenance. The second element contains the integer sequence of steps that were used to anonymize a given data sets. There are 3 possible anonymizing procedures: shift vertical (1), shift (horizontal), and rotate (3). The last element is a <code>data.frame</code> that encodes the values to perform either anonymization or re-identification, given the particular anonymization step used.</p>

detangler_data: Example object that is output from `tangles` function.

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Examples