{
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  "Package": "NCSampling",
  "Type": "Package",
  "Title": "Nearest Centroid (NC) Sampling",
  "Version": "1.0",
  "Date": "2017-06-26",
  "Author": "GJ Melville",
  "Maintainer": "Gavin Melville <gavin.melville@dpi.nsw.gov.au>",
  "Description": "Provides functionality for performing Nearest Centroid\n(NC) Sampling. The NC sampling procedure was developed for\nforestry applications and selects plots for ground measurement\nso as to maximize the efficiency of imputation estimates. It\nuses multiple auxiliary variables and multivariate clustering\nto search for an optimal sample. Further details are given in\nMelville G. & Stone C. (2016)\n<doi:10.1080/00049158.2016.1218265>.",
  "License": "GPL-2",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-22 06:39:22 UTC",
    "User": "root"
  },
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2017-06-27 05:14:25 UTC",
  "RemoteUrl": "https://github.com/cran/NCSampling",
  "RemoteRef": "HEAD",
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    "author": "Gavin Melville <gavin.melville@dpi.nsw.gov.au>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.0\n",
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    "email": "gavin.melville@dpi.nsw.gov.au"
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      "role": "Imports"
    },
    {
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    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/NCSampling"
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  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
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  "_exports": [
    "Addz",
    "Alloc",
    "Centroids",
    "Check.pop",
    "DesVar",
    "DVar",
    "Existing",
    "NC.sample",
    "NC.select",
    "R.sample1",
    "Spatial.plot"
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  "_datasets": [
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      "name": "nundle.sf",
      "title": "Nundle State Forest LiDAR data",
      "object": "nundle.sf",
      "file": "nundle.sf.rda",
      "class": [
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        "var",
        "Strata",
        "x",
        "y"
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      "file": "training.rda",
      "class": [
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        "cc",
        "pstk",
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      "rows": 200,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "NC_functions-package",
      "title": "Nearest Centroid (NC) Sampling",
      "topics": [
        "NCSampling-package",
        "NCSampling"
      ]
    },
    {
      "page": "Addz",
      "title": "Addz",
      "topics": [
        "Addz"
      ]
    },
    {
      "page": "Alloc",
      "title": "Allocation",
      "topics": [
        "Alloc"
      ]
    },
    {
      "page": "Centroids",
      "title": "Calculate centroids",
      "topics": [
        "Centroids"
      ]
    },
    {
      "page": "Check.pop",
      "title": "Check population file",
      "topics": [
        "Check.pop"
      ]
    },
    {
      "page": "DesVar",
      "title": "Design variances for NC sample.",
      "topics": [
        "DesVar"
      ]
    },
    {
      "page": "DVar",
      "title": "Design variances for single stratum.",
      "topics": [
        "DVar"
      ]
    },
    {
      "page": "Existing",
      "title": "Pre-existing plot neighbours",
      "topics": [
        "Existing"
      ]
    },
    {
      "page": "NC.sample",
      "title": "Nearest Centroid (NC) Sample",
      "topics": [
        "NC.sample"
      ]
    },
    {
      "page": "NC.select",
      "title": "Nearest Centroid (NC) Plot Selection",
      "topics": [
        "NC.select"
      ]
    },
    {
      "page": "nundle.sf",
      "title": "Nundle State Forest LiDAR data",
      "topics": [
        "nundle.sf"
      ]
    },
    {
      "page": "R.sample1",
      "title": "Random sample.",
      "topics": [
        "R.sample1"
      ]
    },
    {
      "page": "Spatial.plot",
      "title": "Spatial Plot",
      "topics": [
        "Spatial.plot"
      ]
    },
    {
      "page": "training",
      "title": "Nundle State Forest LiDAR data",
      "topics": [
        "training"
      ]
    }
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    "randomForest",
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