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" |