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Sample data for Adaptive Areal Anonymization experiments.

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NIAID Data Ecosystem2026-03-11 收录
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https://zenodo.org/record/3906976
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This OGC geopackage contains the features used for the experiments related in an upcoming paper in Cartography and Geographic Information Science. The authors are Laure Charleux and Katherine Schofield, the title is: True Spatial K-anonymity: Adaptive Areal Elimination vs. Adaptive Areal Masking. MetroblocksUTM, MinneapolisblocksUTM, and MNblocksUTM are all derived from Census Bureau products. They are extracts of block geometries with a few fields, including the 2010 total population. The MN layer covers the entirety of Minnesota, while the Metro and Minneapolis layers contain extracts roughly rectangular in shape and centered on the Twin-Cities metro area and on Minneapolis respectively.  Metrointersections_50, Minnintersections_50, and MNintersections_50 contain 50 point each, chosen at random road intersections and used for the accessibility study in the paper. The rest of the point layers contain points randomly located in the different study areas. The names of the layers indicate the study area and the number of points.
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2020-06-25
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