Function reference • npsp

Local polinomial estimation Nonparametric estimation of a multidimensional regression function (e.g. a spatial trend), a probability density function or a semivariogram. To speed up computations, linear binning is used to discretize the (corresponding) data. A full bandwidth matrix and a multiplicative triweight kernel is used to compute the weights. Main calculations are performed in FORTRAN using the LAPACK library.
`npsp-package` `npsp`	npsp: Nonparametric spatial (geo)statistics
`np.fitgeo()`	Fit a nonparametric geostatistical model
`locpol()` `locpolhcv()`	Local polynomial estimation
`np.den()`	Local polynomial density estimation
`np.svar()` `np.svariso()` `np.svariso.hcv()` `np.svariso.corr()`	Local polynomial estimation of the semivariogram
`interp()` `predict(<locpol.bin>)` `predict(<np.den>)`	Fast linear interpolation of a regular grid
`np.geo()`	Nonparametric geostatistical model (S3 class "np.geo")
Bandwidth selection Cross-validation methods for bandwidth selection in local polynomial kernel smoothing.
`h.cv()` `hcv.data()`	Cross-validation methods for bandwidth selection
Linear binning Methods for multidimensional linear binning.
`binning()` `as.bin.data()`	Linear binning
`bin.den()` `as.bin.den()`	Linear binning for density estimation
`svar.bin()` `svariso()`	Linear binning of semivariances
Variogram fitting Flexible (isotropic) Shapiro-Botha variogram model fitting by WLS.
`fitsvar.sb.iso()`	Fit an isotropic Shapiro-Botha variogram model
`disc.sb()`	Discretization nodes of a Shapiro-Botha variogram model
Variogram and covariogram utilities Variogram models and methods.
`sv()`	Evaluate a semivariogram model
`covar()`	Covariance values
`varcov()`	Covariance matrix
`svarmod()` `svarmod.sb.iso()` `svarmodels()`	Define a (semi)variogram model
`kappasb()`	Coefficients of an extended Shapiro-Botha variogram model
`svar.grid()`	Discretize a (semi)variogram model
Kriging Nonparametric residual kriging (sometimes called external drift kriging) and simple kriging.
`np.kriging()` `kriging.simple()`	Nonparametric (residual) kriging
Gridded data S3 class `data.grid` and methods.
`data.grid()`	Gridded data (S3 class "data.grid")
`grid.par()`	Grid parameters (S3 class "grid.par")
`coords()`	(spatial) coordinates
`coordvalues()`	Coordinate values
`as.data.grid()` `as.data.frame(<data.grid>)`	data.grid-class methods
`interp()` `predict(<locpol.bin>)` `predict(<np.den>)`	Fast linear interpolation of a regular grid
Plot Utilities for plotting data with a continuous color scale and other plot methods.
`scattersplot()`	Exploratory scatter plots
`splot()` `scolor()` `jet.colors()` `hot.colors()`	Utilities for plotting with a color scale
`spoints()`	Scatter plot with a color scale
`simage()` `plot(<np.den>)`	Image plot with a color scale
`spersp()`	Perspective plot with a color scale
`plot(<fitgeo>)`	Plot a nonparametric geostatistical model
`plot(<fitsvar>)` `plot(<svar.bin>)` `plot(<np.svar>)`	Plot a semivariogram object
`image(<data.grid>)` `persp(<data.grid>)` `contour(<data.grid>)`	R Graphics for gridded data
Data sets Data sets included in the package.
`aquifer`	Wolfcamp aquifer data
`earthquakes`	Earthquake data
`precipitation`	Precipitation data
Other packages Utilities to interact with other packages.
`as.sp()`	Convert npsp object to sp object
`as.variogram()` `as.variomodel()`	Interface to package "geoR"
`as.vgm()` `vgm.tab.svarmod()`	Interface to package "gstat"
Utilities Other utilities…
`mask()`	Mask methods
`npsp.tolerance()`	npsp Tolerances
`rule()` `rule.binning()` `rule.svar()`	npsp Rules
`cpu.time()`	Total and partial CPU time used
`.cpu.time.ini()` `revdim()` `.compute.masked()` `.wloss()` `residuals(<locpol.bin>)` `.kriging.simple.solve()` `residuals(<np.geo>)` `print(<grid.par>)` `dim(<grid.par>)` `dimnames(<grid.par>)` `as.data.frame(<grid.par>)` `is.data.grid()` `dim(<data.grid>)` `dimnames(<data.grid>)` `.rice.rule()` `splot.plt()` `.rev.colorRampPalette()`	npsp internal and secondary functions

Reference

Local polinomial estimation

Bandwidth selection

Linear binning

Variogram fitting

Variogram and covariogram utilities

Kriging

Gridded data

Plot

Data sets

Other packages

Utilities