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  "Title": "Nonparametric Spatial Statistics",
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  "Date": "2024-07-09",
  "Authors@R": "person(\"Ruben\", \"Fernandez-Casal\", , \"rubenfcasal@gmail.com\", role = c(\"aut\", \"cre\"), \ncomment = c(ORCID = \"0000-0002-5785-3739\"))",
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  "Description": "Multidimensional nonparametric spatial (spatio-temporal)\ngeostatistics. S3 classes and methods for multidimensional:\nlinear binning, local polynomial kernel regression (spatial\ntrend estimation), density and variogram estimation.\nNonparametric methods for simultaneous inference on both\nspatial trend and variogram functions (for spatial processes).\nNonparametric residual kriging (spatial prediction). For\ndetails on these methods see, for example, Fernandez-Casal and\nFrancisco-Fernandez (2014) <doi:10.1007/s00477-013-0817-8> or\nCastillo-Paez et al. (2019) <doi:10.1016/j.csda.2019.01.017>.",
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    "interp",
    "is.data.grid",
    "jet.colors",
    "kappasb",
    "kriging.simple",
    "locpol",
    "locpolhcv",
    "mask",
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    "np.svariso.corr",
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    "rule.svar",
    "scattersplot",
    "scolor",
    "simage",
    "spersp",
    "splot",
    "spoints",
    "sv",
    "svar.bin",
    "svar.grid",
    "svariso",
    "svarmod",
    "svarmod.sb.iso",
    "svarmodels",
    "varcov",
    "vgm.tab.svarmod"
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        "lat",
        "head"
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      "object": "earthquakes",
      "class": [
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        "time",
        "lon",
        "lat",
        "depth",
        "mag"
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      "rows": 1859,
      "table": true,
      "tojson": true
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      "title": "Precipitation data",
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      ],
      "fields": [],
      "table": false,
      "tojson": false
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      "title": "npsp: Nonparametric spatial (geo)statistics",
      "topics": [
        "npsp-package",
        "npsp"
      ]
    },
    {
      "page": "aquifer",
      "title": "Wolfcamp aquifer data",
      "topics": [
        "aquifer"
      ]
    },
    {
      "page": "as.data.grid",
      "title": "data.grid-class methods",
      "topics": [
        "as.data.frame.data.grid",
        "as.data.grid",
        "as.data.grid.SpatialGridDataFrame"
      ]
    },
    {
      "page": "as.sp",
      "title": "Convert npsp object to sp object",
      "topics": [
        "as.sp",
        "as.sp.data.grid",
        "as.sp.grid.par"
      ]
    },
    {
      "page": "bin.den",
      "title": "Linear binning for density estimation",
      "topics": [
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        "as.bin.den.bin.den",
        "as.bin.den.data.grid",
        "bin.den",
        "bin.den-class"
      ]
    },
    {
      "page": "binning",
      "title": "Linear binning",
      "topics": [
        "as.bin.data",
        "as.bin.data.bin.data",
        "as.bin.data.data.grid",
        "as.bin.data.SpatialGridDataFrame",
        "bin.data",
        "bin.data-class",
        "binning"
      ]
    },
    {
      "page": "coords",
      "title": "(spatial) coordinates",
      "topics": [
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        "coords.data.grid",
        "coords.grid.par"
      ]
    },
    {
      "page": "coordvalues",
      "title": "Coordinate values",
      "topics": [
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        "coordvalues.data.grid",
        "coordvalues.grid.par"
      ]
    },
    {
      "page": "covar",
      "title": "Covariance values",
      "topics": [
        "covar",
        "covar.np.svar",
        "covar.svarmod"
      ]
    },
    {
      "page": "cpu.time",
      "title": "Total and partial CPU time used",
      "topics": [
        "cpu.time"
      ]
    },
    {
      "page": "data.grid",
      "title": "Gridded data (S3 class \"data.grid\")",
      "topics": [
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        "data.grid-class"
      ]
    },
    {
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      "title": "Discretization nodes of a Shapiro-Botha variogram model",
      "topics": [
        "disc.sb"
      ]
    },
    {
      "page": "earthquakes",
      "title": "Earthquake data",
      "topics": [
        "earthquakes"
      ]
    },
    {
      "page": "fitsvar.sb.iso",
      "title": "Fit an isotropic Shapiro-Botha variogram model",
      "topics": [
        "fitsvar",
        "fitsvar-class",
        "fitsvar.sb.iso"
      ]
    },
    {
      "page": "grid.par",
      "title": "Grid parameters (S3 class \"grid.par\")",
      "topics": [
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        "grid.par-class"
      ]
    },
    {
      "page": "h.cv",
      "title": "Cross-validation methods for bandwidth selection",
      "topics": [
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        "h.cv.bin.data",
        "h.cv.bin.den",
        "h.cv.svar.bin",
        "hcv.data"
      ]
    },
    {
      "page": "interp",
      "title": "Fast linear interpolation of a regular grid",
      "topics": [
        "interp",
        "interp.data.grid",
        "interp.grid.par",
        "predict.locpol.bin",
        "predict.np.den"
      ]
    },
    {
      "page": "kappasb",
      "title": "Coefficients of an extended Shapiro-Botha variogram model",
      "topics": [
        "kappasb"
      ]
    },
    {
      "page": "locpol",
      "title": "Local polynomial estimation",
      "topics": [
        "locpol",
        "locpol.bin",
        "locpol.bin-class",
        "locpol.bin.data",
        "locpol.bin.den",
        "locpol.default",
        "locpol.svar.bin",
        "locpolhcv"
      ]
    },
    {
      "page": "mask",
      "title": "Mask methods",
      "topics": [
        "mask",
        "mask.bin.data",
        "mask.bin.den",
        "mask.data.grid",
        "mask.default",
        "mask.locpol.bin"
      ]
    },
    {
      "page": "np.den",
      "title": "Local polynomial density estimation",
      "topics": [
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        "np.den-class",
        "np.den.bin.data",
        "np.den.bin.den",
        "np.den.default",
        "np.den.svar.bin"
      ]
    },
    {
      "page": "np.fitgeo",
      "title": "Fit a nonparametric geostatistical model",
      "topics": [
        "np.fitgeo",
        "np.fitgeo.default",
        "np.fitgeo.fitgeo",
        "np.fitgeo.locpol.bin"
      ]
    },
    {
      "page": "np.geo",
      "title": "Nonparametric geostatistical model (S3 class \"np.geo\")",
      "topics": [
        "fitgeo-class",
        "np.geo",
        "np.geo-class,"
      ]
    },
    {
      "page": "np.kriging",
      "title": "Nonparametric (residual) kriging",
      "topics": [
        "kriging",
        "kriging.simple",
        "np.kriging",
        "np.kriging.default",
        "np.kriging.np.geo"
      ]
    },
    {
      "page": "np.svar",
      "title": "Local polynomial estimation of the semivariogram",
      "topics": [
        "iso.np.svar",
        "np.svar",
        "np.svar-class",
        "np.svar.default",
        "np.svar.svar.bin",
        "np.svariso",
        "np.svariso.corr",
        "np.svariso.hcv"
      ]
    },
    {
      "page": "npsp-geoR",
      "title": "Interface to package \"geoR\"",
      "topics": [
        "as.variogram",
        "as.variogram.np.svar",
        "as.variogram.svar.bin",
        "as.variomodel",
        "as.variomodel.svarmod",
        "npsp-geoR",
        "variogram",
        "variomodel"
      ]
    },
    {
      "page": "npsp-gstat",
      "title": "Interface to package \"gstat\"",
      "topics": [
        "as.vgm",
        "as.vgm.sb.iso",
        "as.vgm.svarmod",
        "as.vgm.variomodel",
        "npsp-gstat",
        "vgm.tab.svarmod"
      ]
    },
    {
      "page": "npsp.tolerance",
      "title": "npsp Tolerances",
      "topics": [
        "npsp.tolerance"
      ]
    },
    {
      "page": "plot.fitgeo",
      "title": "Plot a nonparametric geostatistical model",
      "topics": [
        "plot.fitgeo"
      ]
    },
    {
      "page": "precipitation",
      "title": "Precipitation data",
      "topics": [
        "precipitation"
      ]
    },
    {
      "page": "rgraphics",
      "title": "R Graphics for gridded data",
      "topics": [
        "contour.data.grid",
        "image.data.grid",
        "persp.data.grid",
        "rgraphics"
      ]
    },
    {
      "page": "rule",
      "title": "npsp Rules",
      "topics": [
        "rule",
        "rule.binning",
        "rule.binning.default",
        "rule.svar",
        "rule.svar.bin.den",
        "rule.svar.default"
      ]
    },
    {
      "page": "scattersplot",
      "title": "Exploratory scatter plots",
      "topics": [
        "scattersplot",
        "scattersplot.default",
        "scattersplot.SpatialPointsDataFrame"
      ]
    },
    {
      "page": "simage",
      "title": "Image plot with a color scale",
      "topics": [
        "plot.np.den",
        "simage",
        "simage.data.grid",
        "simage.default"
      ]
    },
    {
      "page": "spersp",
      "title": "Perspective plot with a color scale",
      "topics": [
        "spersp",
        "spersp.data.grid",
        "spersp.default"
      ]
    },
    {
      "page": "splot",
      "title": "Utilities for plotting with a color scale",
      "topics": [
        "hot.colors",
        "jet.colors",
        "scolor",
        "splot"
      ]
    },
    {
      "page": "spoints",
      "title": "Scatter plot with a color scale",
      "topics": [
        "spoints",
        "spoints.data.grid",
        "spoints.default",
        "spoints.SpatialPointsDataFrame"
      ]
    },
    {
      "page": "sv",
      "title": "Evaluate a semivariogram model",
      "topics": [
        "sv",
        "sv.default",
        "sv.sb.iso",
        "sv.svar.grid",
        "sv.svarmod"
      ]
    },
    {
      "page": "svar.bin",
      "title": "Linear binning of semivariances",
      "topics": [
        "iso.svar",
        "svar.bin",
        "svar.bin-class",
        "svar.bin.default",
        "svariso"
      ]
    },
    {
      "page": "svar.grid",
      "title": "Discretize a (semi)variogram model",
      "topics": [
        "svar.grid",
        "svar.grid.svarmod"
      ]
    },
    {
      "page": "svar.plot",
      "title": "Plot a semivariogram object",
      "topics": [
        "plot.fitsvar",
        "plot.np.svar",
        "plot.svar.bin",
        "svar.plot"
      ]
    },
    {
      "page": "svarmod",
      "title": "Define a (semi)variogram model",
      "topics": [
        "sb.iso-class",
        "svarmod",
        "svarmod.sb.iso",
        "svarmodels"
      ]
    },
    {
      "page": "varcov",
      "title": "Covariance matrix",
      "topics": [
        "varcov",
        "varcov.isotropic",
        "varcov.np.svar"
      ]
    }
  ],
  "_readme": "https://github.com/rubenfcasal/npsp/raw/HEAD/README.md",
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