MaskMyPy: python tools for performing and analyzing geographic masks
MaskMyPy makes it easy to apply a variety of geographic masks to a set of sensitive points and then measure which mask provided the most privacy while suffering the least information loss. We believe this style of tooling is important to not only make geographic masks accessible to non-experts, but to enable expert users to better interrogate the masks they develop, and in doing so drive the geographic masking discipline forward.
Authors
- Nadine Schuurman (ORCID: https://orcid.org/0000-0003-1362-224X)
- David Swanlund (ORCID: https://orcid.org/0000-0003-2587-6845)
Institutions
- Simon Fraser University (CA)
Publication Details
- Journal
- International Journal of Health Geographics
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1186/s12942-025-00399-6
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Social Sciences and Humanities Research Council of Canada