A B C D E F G H I J K L M N P R S V
| npsp-package | npsp: Nonparametric spatial (geo)statistics |
| aquifer | Wolfcamp aquifer data |
| as.bin.data | Linear binning |
| as.bin.data.bin.data | Linear binning |
| as.bin.data.data.grid | Linear binning |
| as.bin.data.SpatialGridDataFrame | Linear binning |
| as.bin.den | Linear binning for density estimation |
| as.bin.den.bin.den | Linear binning for density estimation |
| as.bin.den.data.grid | Linear binning for density estimation |
| as.data.frame.data.grid | data.grid-class methods |
| as.data.grid | data.grid-class methods |
| as.data.grid.SpatialGridDataFrame | data.grid-class methods |
| as.sp | Convert npsp object to sp object |
| as.sp.data.grid | Convert npsp object to sp object |
| as.sp.grid.par | Convert npsp object to sp object |
| as.variogram | Interface to package "geoR" |
| as.variogram.np.svar | Interface to package "geoR" |
| as.variogram.svar.bin | Interface to package "geoR" |
| as.variomodel | Interface to package "geoR" |
| as.variomodel.svarmod | Interface to package "geoR" |
| as.vgm | Interface to package "gstat" |
| as.vgm.sb.iso | Interface to package "gstat" |
| as.vgm.svarmod | Interface to package "gstat" |
| as.vgm.variomodel | Interface to package "gstat" |
| bin.data | Linear binning |
| bin.data-class | Linear binning |
| bin.den | Linear binning for density estimation |
| bin.den-class | Linear binning for density estimation |
| binning | Linear binning |
| contour.data.grid | R Graphics for gridded data |
| coords | (spatial) coordinates |
| coords.data.grid | (spatial) coordinates |
| coords.grid.par | (spatial) coordinates |
| coordvalues | Coordinate values |
| coordvalues.data.grid | Coordinate values |
| coordvalues.grid.par | Coordinate values |
| covar | Covariance values |
| covar.np.svar | Covariance values |
| covar.svarmod | Covariance values |
| cpu.time | Total and partial CPU time used |
| data.grid | Gridded data (S3 class "data.grid") |
| data.grid-class | Gridded data (S3 class "data.grid") |
| disc.sb | Discretization nodes of a Shapiro-Botha variogram model |
| earthquakes | Earthquake data |
| fitgeo-class | Nonparametric geostatistical model (S3 class "np.geo") |
| fitsvar | Fit an isotropic Shapiro-Botha variogram model |
| fitsvar-class | Fit an isotropic Shapiro-Botha variogram model |
| fitsvar.sb.iso | Fit an isotropic Shapiro-Botha variogram model |
| grid.par | Grid parameters (S3 class "grid.par") |
| grid.par-class | Grid parameters (S3 class "grid.par") |
| h.cv | Cross-validation methods for bandwidth selection |
| h.cv.bin.data | Cross-validation methods for bandwidth selection |
| h.cv.bin.den | Cross-validation methods for bandwidth selection |
| h.cv.svar.bin | Cross-validation methods for bandwidth selection |
| hcv.data | Cross-validation methods for bandwidth selection |
| hot.colors | Utilities for plotting with a color scale |
| image.data.grid | R Graphics for gridded data |
| interp | Fast linear interpolation of a regular grid |
| interp.data.grid | Fast linear interpolation of a regular grid |
| interp.grid.par | Fast linear interpolation of a regular grid |
| iso.np.svar | Local polynomial estimation of the semivariogram |
| iso.svar | Linear binning of semivariances |
| jet.colors | Utilities for plotting with a color scale |
| kappasb | Coefficients of an extended Shapiro-Botha variogram model |
| kriging | Nonparametric (residual) kriging |
| kriging.simple | Nonparametric (residual) kriging |
| locpol | Local polynomial estimation |
| locpol.bin | Local polynomial estimation |
| locpol.bin-class | Local polynomial estimation |
| locpol.bin.data | Local polynomial estimation |
| locpol.bin.den | Local polynomial estimation |
| locpol.default | Local polynomial estimation |
| locpol.svar.bin | Local polynomial estimation |
| locpolhcv | Local polynomial estimation |
| mask | Mask methods |
| mask.bin.data | Mask methods |
| mask.bin.den | Mask methods |
| mask.data.grid | Mask methods |
| mask.default | Mask methods |
| mask.locpol.bin | Mask methods |
| np.den | Local polynomial density estimation |
| np.den-class | Local polynomial density estimation |
| np.den.bin.data | Local polynomial density estimation |
| np.den.bin.den | Local polynomial density estimation |
| np.den.default | Local polynomial density estimation |
| np.den.svar.bin | Local polynomial density estimation |
| np.fitgeo | Fit a nonparametric geostatistical model |
| np.fitgeo.default | Fit a nonparametric geostatistical model |
| np.fitgeo.fitgeo | Fit a nonparametric geostatistical model |
| np.fitgeo.locpol.bin | Fit a nonparametric geostatistical model |
| np.geo | Nonparametric geostatistical model (S3 class "np.geo") |
| np.geo-class, | Nonparametric geostatistical model (S3 class "np.geo") |
| np.kriging | Nonparametric (residual) kriging |
| np.kriging.default | Nonparametric (residual) kriging |
| np.kriging.np.geo | Nonparametric (residual) kriging |
| np.svar | Local polynomial estimation of the semivariogram |
| np.svar-class | Local polynomial estimation of the semivariogram |
| np.svar.default | Local polynomial estimation of the semivariogram |
| np.svar.svar.bin | Local polynomial estimation of the semivariogram |
| np.svariso | Local polynomial estimation of the semivariogram |
| np.svariso.corr | Local polynomial estimation of the semivariogram |
| np.svariso.hcv | Local polynomial estimation of the semivariogram |
| npsp | npsp: Nonparametric spatial (geo)statistics |
| npsp-geoR | Interface to package "geoR" |
| npsp-gstat | Interface to package "gstat" |
| npsp.tolerance | npsp Tolerances |
| persp.data.grid | R Graphics for gridded data |
| plot.fitgeo | Plot a nonparametric geostatistical model |
| plot.fitsvar | Plot a semivariogram object |
| plot.np.den | Image plot with a color scale |
| plot.np.svar | Plot a semivariogram object |
| plot.svar.bin | Plot a semivariogram object |
| precipitation | Precipitation data |
| predict.locpol.bin | Fast linear interpolation of a regular grid |
| predict.np.den | Fast linear interpolation of a regular grid |
| rgraphics | R Graphics for gridded data |
| rule | npsp Rules |
| rule.binning | npsp Rules |
| rule.binning.default | npsp Rules |
| rule.svar | npsp Rules |
| rule.svar.bin.den | npsp Rules |
| rule.svar.default | npsp Rules |
| sb.iso-class | Define a (semi)variogram model |
| scattersplot | Exploratory scatter plots |
| scattersplot.default | Exploratory scatter plots |
| scattersplot.SpatialPointsDataFrame | Exploratory scatter plots |
| scolor | Utilities for plotting with a color scale |
| simage | Image plot with a color scale |
| simage.data.grid | Image plot with a color scale |
| simage.default | Image plot with a color scale |
| spersp | Perspective plot with a color scale |
| spersp.data.grid | Perspective plot with a color scale |
| spersp.default | Perspective plot with a color scale |
| splot | Utilities for plotting with a color scale |
| spoints | Scatter plot with a color scale |
| spoints.data.grid | Scatter plot with a color scale |
| spoints.default | Scatter plot with a color scale |
| spoints.SpatialPointsDataFrame | Scatter plot with a color scale |
| sv | Evaluate a semivariogram model |
| sv.default | Evaluate a semivariogram model |
| sv.sb.iso | Evaluate a semivariogram model |
| sv.svar.grid | Evaluate a semivariogram model |
| sv.svarmod | Evaluate a semivariogram model |
| svar.bin | Linear binning of semivariances |
| svar.bin-class | Linear binning of semivariances |
| svar.bin.default | Linear binning of semivariances |
| svar.grid | Discretize a (semi)variogram model |
| svar.grid.svarmod | Discretize a (semi)variogram model |
| svar.plot | Plot a semivariogram object |
| svariso | Linear binning of semivariances |
| svarmod | Define a (semi)variogram model |
| svarmod.sb.iso | Define a (semi)variogram model |
| svarmodels | Define a (semi)variogram model |
| varcov | Covariance matrix |
| varcov.isotropic | Covariance matrix |
| varcov.np.svar | Covariance matrix |
| variogram | Interface to package "geoR" |
| variomodel | Interface to package "geoR" |
| vgm.tab.svarmod | Interface to package "gstat" |