{
  "_id": "6a1e87eb1d7bb097a0a67d06",
  "Package": "spData",
  "Title": "Datasets for Spatial Analysis",
  "Version": "2.3.5",
  "Authors@R": "c(person(\"Roger\", \"Bivand\", role = \"aut\", email=\"Roger.Bivand@nhh.no\", comment = c(ORCID = \"0000-0003-2392-6140\")),\nperson(\"Jakub\", \"Nowosad\", role = c(\"aut\", \"cre\"), email=\"nowosad.jakub@gmail.com\", comment = c(ORCID = \"0000-0002-1057-3721\")),\nperson(\"Robin\", \"Lovelace\", role = \"aut\", comment = c(ORCID = \"0000-0001-5679-6536\")),\nperson(\"Angelos\", \"Mimis\", role = \"ctb\"),\nperson(\"Mark\", \"Monmonier\", role = \"ctb\", comment = \"author of the state.vbm dataset\"),\nperson(\"Greg\", \"Snow\", role = \"ctb\", comment = \"author of the state.vbm dataset\")\n)",
  "Description": "Diverse spatial datasets for demonstrating, benchmarking\nand teaching spatial data analysis. It includes R data of class\nsf (defined by the package 'sf'), Spatial ('sp'), and nb\n('spdep'). Unlike other spatial data packages such as\n'rnaturalearth' and 'maps', it also contains data stored in a\nrange of file formats including GeoJSON and GeoPackage, but\nfrom version 2.3.4, no longer ESRI Shapefile - use GeoPackage\ninstead. Some of the datasets are designed to illustrate\nspecific analysis techniques. cycle_hire() and\ncycle_hire_osm(), for example, is designed to illustrate point\npattern analysis techniques.",
  "License": "CC0",
  "RoxygenNote": "7.3.3",
  "LazyData": "true",
  "URL": "https://jakubnowosad.com/spData/",
  "BugReports": "https://github.com/Nowosad/spData/issues",
  "Additional_repositories": "https://jakubnowosad.com/drat",
  "Encoding": "UTF-8",
  "Repository": "https://nowosad.r-universe.dev",
  "Date/Publication": "2026-05-03 19:41:14 UTC",
  "RemoteUrl": "https://github.com/nowosad/spData",
  "RemoteRef": "HEAD",
  "RemoteSha": "6d9c2a8d087822463f6571016826fe45efa749c0",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-02 07:33:12 UTC",
    "User": "root"
  },
  "Author": "Roger Bivand [aut] (ORCID: <https://orcid.org/0000-0003-2392-6140>),\nJakub Nowosad [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-1057-3721>),\nRobin Lovelace [aut] (ORCID: <https://orcid.org/0000-0001-5679-6536>),\nAngelos Mimis [ctb],\nMark Monmonier [ctb] (author of the state.vbm dataset),\nGreg Snow [ctb] (author of the state.vbm dataset)",
  "Maintainer": "Jakub Nowosad <nowosad.jakub@gmail.com>",
  "MD5sum": "700be6b73c891eeb670bc718bbea4fc6",
  "_user": "nowosad",
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  "_created": "2026-06-02T07:33:12.000Z",
  "_published": "2026-06-02T07:36:11.585Z",
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    "author": "jn <tupiszakaczki@gmail.com>",
    "committer": "jn <tupiszakaczki@gmail.com>",
    "message": "resolves Upcoming package sf no longer exports %>%\nFixes #74\n",
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    },
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  "_usedby": 146,
  "_updates": [
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  "_tags": [],
  "_topics": [
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    "raster",
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  "_exports": [],
  "_datasets": [
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      "name": "afcon",
      "title": "Spatial patterns of conflict in Africa 1966-78",
      "object": "afcon",
      "class": [
        "data.frame"
      ],
      "fields": [
        "x",
        "y",
        "totcon",
        "name",
        "id"
      ],
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      "table": true,
      "tojson": true
    },
    {
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      "title": "Spatial patterns of conflict in Africa 1966-78",
      "object": "afcon",
      "class": [
        "nb"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
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      "title": "Spatial patterns of conflict in Africa 1966-78",
      "object": "afcon",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
      "rows": 42,
      "table": true,
      "tojson": true
    },
    {
      "name": "aggregating_zones",
      "title": "Datasets to illustrate the concept of spatial congruence",
      "object": "aggregating_zones",
      "class": [
        "sf",
        "data.frame"
      ],
      "fields": [
        "geo_code",
        "geo_label",
        "geo_labelw",
        "geometry"
      ],
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      "table": false,
      "tojson": true
    },
    {
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      "object": "alaska",
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        "sf",
        "data.frame"
      ],
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        "NAME",
        "REGION",
        "AREA",
        "total_pop_10",
        "total_pop_15",
        "geometry"
      ],
      "rows": 1,
      "table": false,
      "tojson": false
    },
    {
      "name": "auckland",
      "title": "Marshall's infant mortality in Auckland dataset",
      "object": "auckland",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Easting",
        "Northing",
        "Deaths.1977.85",
        "Under.5.1981"
      ],
      "rows": 167,
      "table": true,
      "tojson": true
    },
    {
      "name": "auckland.nb",
      "title": "Marshall's infant mortality in Auckland dataset",
      "object": "auckland",
      "class": [
        "nb"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "auckpolys",
      "title": "Marshall's infant mortality in Auckland dataset",
      "object": "auckland",
      "class": [
        "polylist"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "baltimore",
      "title": "House sales prices, Baltimore, MD 1978",
      "object": "baltimore",
      "class": [
        "data.frame"
      ],
      "fields": [
        "STATION",
        "PRICE",
        "NROOM",
        "DWELL",
        "NBATH",
        "PATIO",
        "FIREPL",
        "AC",
        "BMENT",
        "NSTOR",
        "GAR",
        "AGE",
        "CITCOU",
        "LOTSZ",
        "SQFT",
        "X",
        "Y"
      ],
      "rows": 211,
      "table": true,
      "tojson": true
    },
    {
      "name": "bbs",
      "title": "Columbus OH spatial analysis data set",
      "object": "columbus",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
      "rows": 49,
      "table": true,
      "tojson": true
    },
    {
      "name": "boston.c",
      "title": "Corrected Boston Housing Data",
      "object": "boston",
      "class": [
        "data.frame"
      ],
      "fields": [
        "TOWN",
        "TOWNNO",
        "TRACT",
        "LON",
        "LAT",
        "MEDV",
        "CMEDV",
        "CRIM",
        "ZN",
        "INDUS",
        "CHAS",
        "NOX",
        "RM",
        "AGE",
        "DIS",
        "RAD",
        "TAX",
        "PTRATIO",
        "B",
        "LSTAT"
      ],
      "rows": 506,
      "table": true,
      "tojson": true
    },
    {
      "name": "boston.soi",
      "title": "Corrected Boston Housing Data",
      "object": "boston",
      "class": [
        "nb"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
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      "title": "Corrected Boston Housing Data",
      "object": "boston",
      "class": [
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        "array"
      ],
      "fields": [
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        "y"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "coffee_data",
      "title": "World coffee production data",
      "object": "coffee_data",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "name_long",
        "coffee_production_2016",
        "coffee_production_2017"
      ],
      "rows": 47,
      "table": true,
      "tojson": true
    },
    {
      "name": "col.gal.nb",
      "title": "Columbus OH spatial analysis data set",
      "object": "columbus",
      "class": [
        "nb"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "columbus",
      "title": "Columbus OH spatial analysis data set",
      "object": "columbus",
      "class": [
        "data.frame"
      ],
      "fields": [
        "AREA",
        "PERIMETER",
        "COLUMBUS.",
        "COLUMBUS.I",
        "POLYID",
        "NEIG",
        "HOVAL",
        "INC",
        "CRIME",
        "OPEN",
        "PLUMB",
        "DISCBD",
        "X",
        "Y",
        "AREA",
        "NSA",
        "NSB",
        "EW",
        "CP",
        "THOUS",
        "NEIGNO",
        "PERIM"
      ],
      "rows": 49,
      "table": true,
      "tojson": true
    },
    {
      "name": "congruent",
      "title": "Datasets to illustrate the concept of spatial congruence",
      "object": "congruent",
      "class": [
        "sf",
        "data.frame"
      ],
      "fields": [
        "level",
        "value",
        "geometry"
      ],
      "rows": 9,
      "table": false,
      "tojson": true
    },
    {
      "name": "coords",
      "title": "Columbus OH spatial analysis data set",
      "object": "columbus",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
      "rows": 49,
      "table": true,
      "tojson": true
    },
    {
      "name": "cycle_hire",
      "title": "Cycle hire points in London",
      "object": "cycle_hire",
      "class": [
        "sf",
        "data.frame"
      ],
      "fields": [
        "id",
        "name",
        "area",
        "nbikes",
        "nempty",
        "geometry"
      ],
      "rows": 742,
      "table": true,
      "tojson": true
    },
    {
      "name": "cycle_hire_osm",
      "title": "Cycle hire points in London from OSM",
      "object": "cycle_hire_osm",
      "class": [
        "sf",
        "data.frame"
      ],
      "fields": [
        "osm_id",
        "name",
        "capacity",
        "cyclestreets_id",
        "description",
        "geometry"
      ],
      "rows": 540,
      "table": true,
      "tojson": true
    },
    {
      "name": "depmunic",
      "title": "Municipality departments of Athens (Sf)",
      "object": "depmunic",
      "class": [
        "sf",
        "data.frame"
      ],
      "fields": [
        "num_dep",
        "airbnb",
        "museums",
        "population",
        "pop_rest",
        "greensp",
        "area",
        "geometry"
      ],
      "rows": 7,
      "table": false,
      "tojson": true
    },
    {
      "name": "dll",
      "title": "1980 Presidential election results",
      "object": "elect80",
      "class": [
        "nb"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "e80_queen",
      "title": "1980 Presidential election results",
      "object": "elect80",
      "class": [
        "nb"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "eire.coords.utm",
      "title": "Eire data sets",
      "object": "eire",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2"
      ],
      "rows": 26,
      "table": true,
      "tojson": true
    },
    {
      "name": "eire.df",
      "title": "Eire data sets",
      "object": "eire",
      "class": [
        "data.frame"
      ],
      "fields": [
        "A",
        "towns",
        "pale",
        "size",
        "ROADACC",
        "OWNCONS",
        "POPCHG",
        "RETSALE",
        "INCOME"
      ],
      "rows": 26,
      "table": true,
      "tojson": true
    },
    {
      "name": "eire.nb",
      "title": "Eire data sets",
      "object": "eire",
      "class": [
        "nb"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "eire.polys.utm",
      "title": "Eire data sets",
      "object": "eire",
      "class": [
        "polylist"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "elect80",
      "title": "1980 Presidential election results",
      "object": "elect80",
      "class": [
        "SpatialPointsDataFrame"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "elect80_lw",
      "title": "1980 Presidential election results",
      "object": "elect80",
      "class": [
        "listw",
        "nb"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "go_x",
      "title": "Getis-Ord remote sensing example data",
      "object": "getisord",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "go_xyz",
      "title": "Getis-Ord remote sensing example data",
      "object": "getisord",
      "class": [
        "data.frame"
      ],
      "fields": [
        "x",
        "y",
        "val"
      ],
      "rows": 256,
      "table": true,
      "tojson": true
    },
    {
      "name": "go_y",
      "title": "Getis-Ord remote sensing example data",
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