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  "Package": "sdcSpatial",
  "Title": "Statistical Disclosure Control for Spatial Data",
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  "Authors@R": "c(\nperson(\"Edwin\", \"de Jonge\", email = \"edwindjonge@gmail.com\", role = c(\"aut\", \"cre\"),\ncomment=c(ORCID=\"0000-0002-6580-4718\")),\nperson(\"Peter-Paul\", \"de Wolf\", role = c(\"aut\")),\nperson(\"Douwe\", \"Hut\", role = c(\"ctb\")),\nperson(\"Sapphire\", \"Han\", role = c(\"ctb\"))\n)",
  "Description": "Privacy protected raster maps can be created from spatial\npoint data. Protection methods include smoothing of dichotomous\nvariables by de Jonge and de Wolf (2016)\n<doi:10.1007/978-3-319-45381-1_9>, continuous variables by de\nWolf and de Jonge (2018) <doi:10.1007/978-3-319-99771-1_23>,\nsuppressing revealing values and a generalization of the quad\ntree method by Suñé, Rovira, Ibáñez and Farré (2017)\n<doi:10.2901/EUROSTAT.C2017.001>.",
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  "Repository": "https://edwindj.r-universe.dev",
  "Date/Publication": "2025-03-17 13:46:55 UTC",
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "extra/NEWS.txt",
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    "extra/readme.md",
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  "_realowner": "edwindj",
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      "date": "2022-03-24"
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      "date": "2025-03-15"
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    "is_sensitive",
    "is_sensitive_at",
    "mask_donut",
    "mask_grid",
    "mask_random",
    "mask_sensitive",
    "mask_voronoi",
    "mask_weighted_random",
    "plot_sensitive",
    "protect_neighborhood",
    "protect_quadtree",
    "protect_smooth",
    "remove_sensitive",
    "sdc_raster",
    "sensitivity_score",
    "smooth_raster"
  ],
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      "name": "dwellings",
      "title": "Simulated dwellings data set",
      "object": "dwellings",
      "class": [
        "data.frame"
      ],
      "fields": [
        "x",
        "y",
        "consumption",
        "unemployed"
      ],
      "rows": 90603,
      "table": true,
      "tojson": true
    },
    {
      "name": "enterprises",
      "title": "Simulated data set with enterprise locations.",
      "object": "enterprises",
      "class": [
        "SpatialPointsDataFrame"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "sdcSpatial-package",
      "title": "Privacy Protected maps",
      "topics": [
        "sdcSpatial-package",
        "sdcSpatial"
      ]
    },
    {
      "page": "disclosure_risk",
      "title": "Calculate disclosure risk for raster cells",
      "concept": [
        "sensitive"
      ],
      "topics": [
        "disclosure_risk"
      ]
    },
    {
      "page": "dwellings",
      "title": "Simulated dwellings data set",
      "topics": [
        "dwellings"
      ]
    },
    {
      "page": "enterprises",
      "title": "Simulated data set with enterprise locations.",
      "topics": [
        "enterprises"
      ]
    },
    {
      "page": "is_sensitive",
      "title": "Return raster with sensitive locations.",
      "concept": [
        "sensitive"
      ],
      "topics": [
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      ]
    },
    {
      "page": "is_sensitive_at",
      "title": "Calculate sensitivity from a sdc_raster at x,y locations.",
      "concept": [
        "sensitive"
      ],
      "topics": [
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      ]
    },
    {
      "page": "mask_donut",
      "title": "Mask coordinates using donut pertubation",
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        "point perturbation"
      ],
      "topics": [
        "mask_donut"
      ]
    },
    {
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      "title": "Mask coordinates using a grid",
      "concept": [
        "point pertubation"
      ],
      "topics": [
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      ]
    },
    {
      "page": "mask_random",
      "title": "Mask coordinates using random pertubation",
      "concept": [
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      ],
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      ]
    },
    {
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      ]
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      ],
      "topics": [
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      ]
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    {
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      "concept": [
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        "sensitive"
      ],
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      ]
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    {
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      ],
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      ]
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      "topics": [
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      ]
    },
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      ],
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    },
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      "concept": [
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        "sensitive"
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        "remove_sensitive"
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      "concept": [
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