{
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  "Package": "ACRER",
  "Type": "Package",
  "Title": "Accessibility for Recreation in R",
  "Version": "1.0.1",
  "Date": "2026-09-21",
  "Authors@R": "c(\nperson(\"Georgios\", \"Martakis\", email = \"georgios.martakis@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Jan\", \"Bervaes\", role = \"ctb\", comment = \"deceased\"),\nperson(\"Bert\", \"van der Werf\", role = \"ctb\", comment = c(ORCID = \"0000-0003-3072-5937\"))\n)",
  "Description": "Recreation model that simulates household types, group\ntypes, expected visiting duration, and total visits from city\nzip codes to surrounding destination areas. The methodology is\nbased on the accessibility model described in Bervaes et al.\n(1996) \"Een model voor het gebruik van de groene ruimte in\nstadslandschappen (Fase I)\" <https://www.wur.nl/en/library>,\nwith optimization procedures based on Goldfarb and Idnani\n(1983) <doi:10.1007/BF02591962> and Vanderbei et al. (1986)\n<doi:10.1007/BF01840454>.",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
  "VignetteBuilder": "knitr",
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  "Config/roxygen2/version": "8.1.0",
  "Packaged": {
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    "User": "root"
  },
  "Author": "Georgios Martakis [aut, cre], Jan Bervaes [ctb] (deceased),\nBert van der Werf [ctb] (ORCID:\n<https://orcid.org/0000-0003-3072-5937>)",
  "Maintainer": "Georgios Martakis <georgios.martakis@gmail.com>",
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  "Repository": "https://martakis.r-universe.dev",
  "Date/Publication": "2026-10-10 10:01:07 UTC",
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  "_created": "2026-10-10T14:22:52.000Z",
  "_published": "2026-10-10T14:58:16.868Z",
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    "login": "martakis",
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  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
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      "n": 2
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  "_tags": [],
  "_stars": 0,
  "_contributors": [
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    "name": "georgios martakis",
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    "description": "data analyst"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ACRER"
  },
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  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/readme.html",
    "extra/readme.md"
  ],
  "_homeurl": "https://github.com/martakis/acrer",
  "_realowner": "martakis",
  "_cranurl": true,
  "_releases": [
    {
      "version": "1.0.1",
      "date": "2026-09-30"
    }
  ],
  "_exports": [
    "%>%",
    "generate_pivot",
    "NGroup0",
    "NGroup1",
    "NGroup2",
    "NGroup3",
    "NGroup4",
    "percent_EVD_Recr",
    "percent_EVD_zip_code",
    "percent_GT_EVD_pivot",
    "percent_GT_NV_pivot",
    "percent_NV_Recr",
    "percent_NV_zip_code",
    "run_Acrer_model",
    "Run_Queries",
    "wageningen_conn"
  ],
  "_help": [
    {
      "page": "combinations",
      "title": "combination function to obtain at random c3 matrices",
      "topics": [
        "combinations"
      ]
    },
    {
      "page": "crosstab",
      "title": "crosstab function. `crosstab function` Function to compute the group numbers of recreation area with the same activities on the same time segments or to compute the column createused for the group numbers of recreation areas and the activities pattern on the same time segment.",
      "topics": [
        "crosstab"
      ]
    },
    {
      "page": "expected_visit_duration",
      "title": "function to compute the expected visit duration per recreation area.",
      "topics": [
        "expected_visit_duration"
      ]
    },
    {
      "page": "generate_pivot",
      "title": "Generate a Pivot Table by Recreation Area and Zip Code",
      "topics": [
        "generate_pivot"
      ]
    },
    {
      "page": "NGroup0",
      "title": "NGroup0 computes the group numbers of recreation areas where all the sequence(s) of their presences (1) on the combination of activities pattern and time segment are NOT interrupted by absences (0). Thus in this case we have 1 group of ones (presences).",
      "topics": [
        "NGroup0"
      ]
    },
    {
      "page": "NGroup1",
      "title": "NGroup1 computes the group numbers of recreation areas where all the sequence(s) of their presences (1) on the combination of activities pattern and time segment are only once interrupted by their absence (0). Thus in this case we have two groups of ones (presences).",
      "topics": [
        "NGroup1"
      ]
    },
    {
      "page": "NGroup2",
      "title": "NGroup2 computes the group numbers of recreation areas where all the sequence(s) of their presences (1) on the combination of activities pattern and time segment are only twice interrupted by their absences (0). Thus in this case we have three groups of ones (presences).",
      "topics": [
        "NGroup2"
      ]
    },
    {
      "page": "NGroup3",
      "title": "NGroup3 computes the group numbers of recreation areas where all the sequence(s) of their presences (1) on the combination of activities pattern and time segment are three times interrupted by absences (0). Thus in this case we have four groups of one (presence).",
      "topics": [
        "NGroup3"
      ]
    },
    {
      "page": "NGroup4",
      "title": "NGroup4 computes the group numbers of recreation areas where all the sequence(s) of their presences (1) on the combination of activities pattern and time segment are four times interrupted by absences (0). Thus in this case we have five groups of one (presences).",
      "topics": [
        "NGroup4"
      ]
    },
    {
      "page": "percent_EVD_Recr",
      "title": "Generate Percentage of Expected Visiting Duration per Recreation Area",
      "topics": [
        "percent_EVD_Recr"
      ]
    },
    {
      "page": "percent_EVD_zip_code",
      "title": "Generate Percentage of Expected Visiting Duration per Zip Code",
      "topics": [
        "percent_EVD_zip_code"
      ]
    },
    {
      "page": "percent_GT_EVD_pivot",
      "title": "Generate Percentage of Grand Total Expected Visiting Duration",
      "topics": [
        "percent_GT_EVD_pivot"
      ]
    },
    {
      "page": "percent_GT_NV_pivot",
      "title": "Generate Percentage of Grand Total Number of Visits",
      "topics": [
        "percent_GT_NV_pivot"
      ]
    },
    {
      "page": "percent_NV_Recr",
      "title": "Generate Percentage of Number of Visits per Recreation Area",
      "topics": [
        "percent_NV_Recr"
      ]
    },
    {
      "page": "percent_NV_zip_code",
      "title": "Generate Percentage of Number of Visits per Zip Code",
      "topics": [
        "percent_NV_zip_code"
      ]
    },
    {
      "page": "run_Acrer_model",
      "title": "Model ACRER (Wageningen_SQLite_2023) Main function for the model ACRER.",
      "topics": [
        "run_Acrer_model"
      ]
    },
    {
      "page": "Run_Queries",
      "title": "Run Queries",
      "topics": [
        "Run_Queries"
      ]
    },
    {
      "page": "wageningen_conn",
      "title": "Open a connection to the Wageningen SQLite DB",
      "topics": [
        "wageningen_conn"
      ]
    }
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  "_vignettes": [
    {
      "source": "ACRER_vignette.Rmd",
      "filename": "ACRER_vignette.html",
      "title": "Accessibility Model for Urban Recreation (ACRER) Vignette",
      "author": "G. Martakis",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Components of the main script (Wageningen_SQLite_2023.R ) for the ACRER package",
        "Installation of the required packages (see also Appendix B).",
        "The main script is written on the file: Wageningen_SQLite_2023.R of the ACRER package and is connected with 4 functions (scripts with the extension R):",
        "Basic tables , SQL queries and databases",
        "Optimization process",
        "Construction of the design matrices",
        "Procedure for the construction of the vector timeMax",
        "Coefficients of the linear constrains",
        "Construction of the Hessian matrix",
        "Linear programming",
        "Computations for the expected visit duration",
        "Results",
        "Limitations and conclusions",
        "References",
        "Software",
        "Appendix A",
        "Appendix B",
        "Appendix C"
      ],
      "created": "2026-10-10 10:01:07",
      "modified": "2026-10-10 10:01:07",
      "commits": 1
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