{
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  "Package": "esviz",
  "Title": "Plotting Functions for Climate Science and Services",
  "Version": "0.0.3",
  "Authors@R": "c(\nperson(\"BSC-CNS\", role = c(\"aut\", \"cph\")),\nperson(\"An-Chi\", \"Ho\", , \"an.ho@bsc.es\", role = \"aut\"),\nperson(\"Eva\", \"Rifà\", , \"eva.rifarovira@bsc.es\", role = \"ctb\"),\nperson(\"Victòria\", \"Agudetse\", , \"victoria.agudetse@bsc.es\", role = \"ctb\"),\nperson(\"Ariadna\", \"Batalla\", , \"ariadna.batalla@bsc.es\", role = c(\"ctb\", \"cre\")),\nperson(\"Núria\", \"Pérez-Zanón\", , \"nuria.perez@bsc.es\", role = \"ctb\"),\nperson(\"Nadia\", \"Milders\", , \"nadia.milders@bsc.es\", role = \"ctb\"),\nperson(\"Verónica\", \"Torralba\", , \"veronica.torralba@bsc.es\", role = \"ctb\"),\nperson(\"Raúl\", \"Capellán\", , , role = \"ctb\"),\nperson(\"Anindita\", \"Patra\", , \"anindita.patra@bsc.es\", role = \"ctb\"))",
  "Description": "A plotting package for climate science and services.\nProvides a set of functions for visualizing climate data,\nincluding maps, time series, scorecards and other diagnostics.\nSome functions are adapted and extended from the 's2dv' and\n'CSTools' packages (Manubens et al. (2018)\n<doi:10.1016/j.envsoft.2018.01.018>; Pérez-Zanón et al. (2022)\n<doi:10.5194/gmd-15-6115-2022>), with more consistent and\nintegrated functionalities.",
  "Maintainer": "Ariadna Batalla <ariadna.batalla@bsc.es>",
  "License": "GPL-3",
  "URL": "https://gitlab.earth.bsc.es/es/esviz/",
  "BugReports": "https://gitlab.earth.bsc.es/es/esviz/-/issues",
  "SystemRequirements": "GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)",
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    "User": "root"
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  "Author": "BSC-CNS [aut, cph], An-Chi Ho [aut], Eva Rifà [ctb], Victòria\nAgudetse [ctb], Ariadna Batalla [ctb, cre], Núria Pérez-Zanón\n[ctb], Nadia Milders [ctb], Verónica Torralba [ctb], Raúl\nCapellán [ctb], Anindita Patra [ctb]",
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  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-05-28 08:30:09 UTC",
  "RemoteUrl": "https://github.com/cran/esviz",
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    "message": "version 0.0.3\n",
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    "VizTriangles4Categories",
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      "title": "Sample Of Experimental And Observational Climate Spatial Data",
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      "fields": [],
      "table": false,
      "tojson": false
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    {
      "name": "ts_temp",
      "title": "Sample Of Experimental And Observational Climate Time Series Data",
      "object": "ts_temp",
      "class": [
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      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
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    {
      "page": "BarPlotCat",
      "title": "Plot Bar Charts of Forecast Category Probabilities",
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    {
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      "title": "Generate Climate Color Palettes",
      "topics": [
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        "ClimPalette"
      ]
    },
    {
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      "title": "Draws a Continuous Color Bar",
      "topics": [
        "ColorBarContinuous"
      ]
    },
    {
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      "title": "Draw a Discrete Color Bar",
      "topics": [
        "ColorBarDiscrete"
      ]
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    {
      "page": "Hatching",
      "title": "Draws hatching or crosshatching over a mask on a map",
      "topics": [
        "Hatching"
      ]
    },
    {
      "page": "map_temp",
      "title": "Sample Of Experimental And Observational Climate Spatial Data",
      "topics": [
        "map_temp"
      ]
    },
    {
      "page": "ShapeToMask",
      "title": "Convert Shapefile to Mask Array",
      "topics": [
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    {
      "page": "ts_temp",
      "title": "Sample Of Experimental And Observational Climate Time Series Data",
      "topics": [
        "ts_temp"
      ]
    },
    {
      "page": "Viz2VarsVsLTime",
      "title": "Plot two scores with confidence intervals in a common plot",
      "topics": [
        "Viz2VarsVsLTime"
      ]
    },
    {
      "page": "VizACC",
      "title": "Plot Plumes/Timeseries Of Anomaly Correlation Coefficients",
      "topics": [
        "VizACC"
      ]
    },
    {
      "page": "VizAnimateMap",
      "title": "Animate Maps of Forecast/Observed Values or Scores Over Forecast Time",
      "topics": [
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      ]
    },
    {
      "page": "VizAno",
      "title": "Plot Anomaly or Raw time series",
      "topics": [
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      ]
    },
    {
      "page": "VizBoxWhisker",
      "title": "Box-And-Whisker Plot of Time Series with Ensemble Distribution",
      "topics": [
        "VizBoxWhisker"
      ]
    },
    {
      "page": "VizClim",
      "title": "Plots Climatologies",
      "topics": [
        "VizClim"
      ]
    },
    {
      "page": "VizCombinedMap",
      "title": "Plot Multiple Lon-Lat Variables In a Single Map According to a Decision Function",
      "topics": [
        "VizCombinedMap"
      ]
    },
    {
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      "title": "Maps A Two-Dimensional Variable On A Cylindrical Equidistant Projection",
      "topics": [
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      ]
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    {
      "page": "VizForecastPDF",
      "title": "Plot one or multiple ensemble forecast pdfs for the same event",
      "topics": [
        "VizForecastPDF"
      ]
    },
    {
      "page": "VizLayout",
      "title": "Arrange and Fill Multi-Pannel Layouts With Optional Colour Bar",
      "topics": [
        "VizLayout"
      ]
    },
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      "title": "Function to convert any numerical table to a grid of coloured squares.",
      "topics": [
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      ]
    },
    {
      "page": "VizMostLikelyQuantileMap",
      "title": "Plot Maps of Most Likely Quantiles",
      "topics": [
        "VizMostLikelyQuantileMap"
      ]
    },
    {
      "page": "VizPDFsOLE",
      "title": "Plotting two probability density gaussian functions and the optimal linear estimation (OLE) as result of combining them.",
      "topics": [
        "VizPDFsOLE"
      ]
    },
    {
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      "title": "Plot polygon-based maps in different projections",
      "topics": [
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      ]
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    {
      "page": "VizRobinson",
      "title": "Plot map in Robinson or other projections",
      "topics": [
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      ]
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      "title": "Function to plot Scorecard tables This function renders a scorecard table from a multidimensional array in HTML style. The structure of the table is based on the assignment of each dimension of the array as a structure element: row, subrow, column or subcolumn. It is useful to present tabular results with colors in a nice way. Note: Module PhantomJS is required.",
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