{
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  "Package": "dots",
  "Title": "Dot Density Maps",
  "Version": "0.0.3",
  "Authors@R": "person(given = \"Christopher T.\",\nfamily = \"Kenny\",\nrole = c(\"aut\", \"cre\"),\nemail = \"ctkenny@proton.me\",\ncomment = c(ORCID = \"0000-0002-9386-6860\"))",
  "Description": "Generate point data for representing people within spatial\ndata. This collects a suite of tools for creating simple dot\ndensity maps. Several functions from different spatial packages\nare standardized to take the same arguments so that they can be\neasily substituted for each other.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
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  "URL": "https://github.com/christopherkenny/dots,\nhttp://christophertkenny.com/dots/",
  "BugReports": "https://github.com/christopherkenny/dots/issues",
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  "Config/testthat/edition": "3",
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  "Repository": "https://christopherkenny.r-universe.dev",
  "Date/Publication": "2026-05-01 16:15:00 UTC",
  "RemoteUrl": "https://github.com/christopherkenny/dots",
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    "User": "root"
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  "Maintainer": "Christopher T. Kenny <ctkenny@proton.me>",
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    "author": "Christopher T. Kenny <ctk44@cornell.edu>",
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    "message": "use ctktemplate pkgdown theme",
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    "description": "Postdoc @princeton-ddss.\r\nRedistricting and rstats.  \r\n\r\nHarvard Government PhD '25.   \r\nCornell '19."
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      "date": "2022-07-15"
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    "engine_sp_hexagonal",
    "engine_sp_nonaligned",
    "engine_sp_random",
    "engine_sp_regular",
    "engine_sp_stratified",
    "engine_terra",
    "filter_pts"
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      "title": "Boston Water",
      "object": "boston_water",
      "class": [
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        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "name",
        "area",
        "geometry"
      ],
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      "table": false,
      "tojson": true
    },
    {
      "name": "suffolk",
      "title": "Suffolk County, MA Voting Districts",
      "object": "suffolk",
      "class": [
        "sf",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
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        "NAME",
        "pop",
        "pop_white",
        "pop_black",
        "pop_hisp",
        "pop_aian",
        "pop_asian",
        "pop_nhpi",
        "pop_other",
        "pop_two",
        "vap",
        "vap_white",
        "vap_black",
        "vap_hisp",
        "vap_aian",
        "vap_asian",
        "vap_nhpi",
        "vap_other",
        "vap_two",
        "geometry"
      ],
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      "table": false,
      "tojson": true
    }
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      "page": "boston_water",
      "title": "Boston Water",
      "concept": [
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        "boston_water"
      ]
    },
    {
      "page": "clip_water",
      "title": "Remove Water",
      "topics": [
        "clip_water"
      ]
    },
    {
      "page": "dots",
      "title": "Make dot density plots",
      "topics": [
        "dots"
      ]
    },
    {
      "page": "dots_points",
      "title": "Make dot density points",
      "topics": [
        "dots_points"
      ]
    },
    {
      "page": "engine_sf_hexagonal",
      "title": "Generate Hexagonal Points with 'sf'",
      "topics": [
        "engine_sf_hexagonal"
      ]
    },
    {
      "page": "engine_sf_random",
      "title": "Generate Random Points with 'sf'",
      "topics": [
        "engine_sf_random"
      ]
    },
    {
      "page": "engine_sf_regular",
      "title": "Generate Regular Points with 'sf'",
      "topics": [
        "engine_sf_regular"
      ]
    },
    {
      "page": "engine_sp_clustered",
      "title": "Generate Clustered Points with 'sp'",
      "topics": [
        "engine_sp_clustered"
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    },
    {
      "page": "engine_sp_hexagonal",
      "title": "Generate Hexagonal Points with 'sp'",
      "topics": [
        "engine_sp_hexagonal"
      ]
    },
    {
      "page": "engine_sp_nonaligned",
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    {
      "page": "engine_sp_random",
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    },
    {
      "page": "engine_sp_regular",
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      "topics": [
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    },
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