# Nonparametric Spatial Statistics

## Documentation for package ‘npsp’ version 0.7-5

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.

## Help Pages

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

## -- A --

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 | Gridded data (S3 class "data.grid")
as.data.grid | Gridded data (S3 class "data.grid")
as.data.grid.SpatialGridDataFrame | Gridded data (S3 class "data.grid")
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"

## -- B --

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

## -- C --

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

## -- D --

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

## -- E --

earthquakes | Earthquake data

## -- F --

fitgeo-class | Nonparametric geostatistical model (S3 class "np.geo")
fitsvar | Fit an isotropic Shapiro-Botha variogram model
fitsvar.sb.iso | Fit an isotropic Shapiro-Botha variogram model

## -- G --

grid.par | Grid parameters (S3 class "grid.par")
grid.par-class | Grid parameters (S3 class "grid.par")

## -- H --

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

## -- I --

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

## -- J --

jet.colors | Utilities for plotting with a color scale

## -- K --

kappasb | Coefficients of an extended Shapiro-Botha variogram model
kriging | Nonparametric (residual) kriging
kriging.simple | Nonparametric (residual) kriging
kriging.simple.solve | Nonparametric (residual) kriging

## -- L --

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

## -- M --

mask | Mask methods
mask.bin.data | Mask methods
mask.bin.den | Mask methods
mask.default | Mask methods
mask.locpol.bin | Mask methods

## -- N --

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

## -- P --

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

## -- R --

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

## -- S --

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

## -- V --

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"