{
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  "Package": "AeRobiology",
  "Type": "Package",
  "Title": "A Computational Tool for Aerobiological Data",
  "Version": "2.0.2",
  "Authors@R": "c(\nperson(given = \"Jesus\",\nfamily = \"Rojo\",\nrole = \"aut\",\nemail = \"Jesus.Rojo@uclm.es\"),\nperson(given = \"Antonio\",\nfamily = \"Picornell\",\nrole = \"aut\",\nemail = \"picornell@uma.es\"),\nperson(given = \"Jose\",\nfamily = \"Oteros\",\nrole = c(\"aut\", \"cre\"),\nemail = \"OterosJose@gmail.com\")\n)",
  "Author": "Jesus Rojo [aut], Antonio Picornell [aut], Jose Oteros [aut,\ncre]",
  "Maintainer": "Jose Oteros <OterosJose@gmail.com>",
  "Description": "Different tools for managing databases of airborne\nparticles, elaborating the main calculations and visualization\nof results. In a first step, data are checked using tools for\nquality control and all missing gaps are completed. Then, the\nmain parameters of the pollen season are calculated and\nrepresented graphically. Multiple graphical tools are\navailable: pollen calendars, phenological plots, time series,\ntendencies, interactive plots, abundance plots...",
  "License": "GPL-3",
  "Encoding": "UTF-8",
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  "Repository": "https://oteros.r-universe.dev",
  "Date/Publication": "2026-06-16 21:55:30 UTC",
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    "login": "oteros",
    "description": "Data scientist.\n5y-BSc Biology. MSc Global Change. MSc Statistics with R. PhD (2014). Author >100 scientific publications/conferences. R developer.",
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      "n": 2
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    "name": "Jose Oteros",
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    "description": "Data scientist.\r\n5y-BSc Biology. MSc Global Change. MSc Statistics with R. PhD (2014). Author >100 scientific publications/conferences. R developer."
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    "extra/citation.html",
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    "extra/contents.json",
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    "extra/NEWS.txt",
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  "_realowner": "oteros",
  "_cranurl": true,
  "_releases": [
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      "date": "2018-12-21"
    },
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      "date": "2019-02-20"
    },
    {
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      "date": "2019-03-05"
    },
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      "date": "2019-04-15"
    },
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      "date": "2019-06-03"
    },
    {
      "version": "2.0.2",
      "date": "2026-02-24"
    }
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    "analyse_trend",
    "calculate_ps",
    "credits",
    "interpollen",
    "iplot_abundance",
    "iplot_pheno",
    "iplot_pollen",
    "iplot_years",
    "ma",
    "plot_heathour",
    "plot_hour",
    "plot_normsummary",
    "plot_ps",
    "plot_summary",
    "plot_trend",
    "pollen_calendar",
    "quality_control"
  ],
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      "name": "munich_pollen",
      "title": "Pollen data of Munich (2010_2015)",
      "object": "munich_pollen",
      "class": [
        "data.frame"
      ],
      "fields": [
        "date",
        "Alnus",
        "Betula",
        "Taxus",
        "Fraxinus",
        "Poaceae",
        "Quercus",
        "Ulmus",
        "Urtica"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "POMO_pollen",
      "title": "3-hourly pollen data of Munich and Viechtach (2018), obtained automatically by BAA500",
      "object": "POMO_pollen",
      "class": [
        "data.frame"
      ],
      "fields": [
        "pollen",
        "location",
        "from",
        "to",
        "value"
      ],
      "rows": 4368,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "AeRobiology",
      "title": "'AeRobiology' package",
      "topics": [
        "AeRobiology-package",
        "AeRobiology"
      ]
    },
    {
      "page": "analyse_trend",
      "title": "Calculating and Plotting Trends of Pollen Data (summary plot).",
      "topics": [
        "analyse_trend"
      ]
    },
    {
      "page": "calculate_ps",
      "title": "Estimation of the Main Parameters of the Pollen Season",
      "topics": [
        "calculate_ps"
      ]
    },
    {
      "page": "credits",
      "title": "A view of the creators",
      "topics": [
        "credits"
      ]
    },
    {
      "page": "interpollen",
      "title": "Interpolation of Missing Data in a Pollen Database by Different Methods",
      "topics": [
        "interpollen"
      ]
    },
    {
      "page": "iplot_abundance",
      "title": "Plot of the Relative Abundance of the Pollen Types",
      "topics": [
        "iplot_abundance"
      ]
    },
    {
      "page": "iplot_pheno",
      "title": "Phenological Plot",
      "topics": [
        "iplot_pheno"
      ]
    },
    {
      "page": "iplot_pollen",
      "title": "Interactive Plotting Pollen Data (one season).",
      "topics": [
        "iplot_pollen"
      ]
    },
    {
      "page": "iplot_years",
      "title": "Interactive Plotting Pollen Data (one pollen type).",
      "topics": [
        "iplot_years"
      ]
    },
    {
      "page": "ma",
      "title": "Moving Average Calculator",
      "topics": [
        "ma"
      ]
    },
    {
      "page": "munich_pollen",
      "title": "Pollen data of Munich (2010_2015)",
      "topics": [
        "munich_pollen"
      ]
    },
    {
      "page": "plot_heathour",
      "title": "Plotting hourly patterns with heatplot",
      "topics": [
        "plot_heathour"
      ]
    },
    {
      "page": "plot_hour",
      "title": "Plotting hourly patterns",
      "topics": [
        "plot_hour"
      ]
    },
    {
      "page": "plot_normsummary",
      "title": "Plotting the Amplitude of Several Pollen Seasons.",
      "topics": [
        "plot_normsummary"
      ]
    },
    {
      "page": "plot_ps",
      "title": "Pollen Season Plot",
      "topics": [
        "plot_ps"
      ]
    },
    {
      "page": "plot_summary",
      "title": "Plotting Several Pollen Seasons.",
      "topics": [
        "plot_summary"
      ]
    },
    {
      "page": "plot_trend",
      "title": "Calculating and Plotting Trends of Pollen Data.",
      "topics": [
        "plot_trend"
      ]
    },
    {
      "page": "pollen_calendar",
      "title": "Pollen Calendar by Different Methods from a Historical Pollen Database",
      "topics": [
        "pollen_calendar"
      ]
    },
    {
      "page": "POMO_pollen",
      "title": "3-hourly pollen data of Munich and Viechtach (2018), obtained automatically by BAA500",
      "topics": [
        "POMO_pollen"
      ]
    },
    {
      "page": "quality_control",
      "title": "Quality Control of a Pollen Database",
      "topics": [
        "quality_control"
      ]
    }
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      "filename": "my-vignette.html",
      "title": "Vignette of AeRobiology",
      "author": "Jesus Rojo^[University of Castilla-La Mancha & ZAUM (TUM/Helmholtz Zentrum)] Antonio Picornell^[University of Malaga] Jose Oteros^[Zentrum Allergie und Umwelt - ZAUM (TUM/Helmholtz Zentrum)]",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Using the attached data",
        "Loading your database from Excel",
        "Function quality_control()",
        "Function interpollen()",
        "Methods of interpolation",
        "\"lineal\" method",
        "\"movingmean\" method",
        "\"spline\" method",
        "\"tseries\" method",
        "\"neighbour\" method",
        "Function calculate_ps()",
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        "\"logistic\" method",
        "\"clinical\" method",
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      "created": "2026-06-16 21:55:30",
      "modified": "2026-06-16 21:55:30",
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