All functions

DE_RB_2005

Spatio-temporal data set with rural background PM10 concentrations in Germany 2005

coalash

Coal ash samples from a mine in Pennsylvania

estiStAni()

Estimation of the spatio-temporal anisotropy

extractPar() extractParNames()

Extracting parameters and their names from a spatio-temporal variogram model

fit.StVariogram()

Fit a spatio-temporal sample variogram to a sample variogram

fit.lmc()

Fit a Linear Model of Coregionalization to a Multivariable Sample Variogram

fit.variogram()

Fit a Variogram Model to a Sample Variogram

fit.variogram.gls()

GLS fitting of variogram parameters

fit.variogram.reml()

REML Fit Direct Variogram Partial Sills to Data

fulmar

Fulmaris glacialis data

get.contr()

Calculate contrasts from multivariable predictions

gstat() print(<gstat>)

Create gstat objects, or subset it

hscat()

Produce h-scatterplot

image(<data.frame>) xyz2img()

Image Gridded Coordinates in Data Frame

jura

Jura data set

krige() krige.locations() krige.spatial() krige0() idw() idw.locations() idw.spatial() idw0()

Simple, Ordinary or Universal, global or local, Point or Block Kriging, or simulation.

gstat.cv() krige.cv() krige.cv.locations() krige.cv.spatial()

(co)kriging cross validation, n-fold or leave-one-out

krigeST() krigeSTTg()

Ordinary global Spatio-Temporal Kriging

krigeSTSimTB()

conditional/unconditional spatio-temporal simulation

krigeSimCE()

Simulation based on circulant embedding

krigeTg()

TransGaussian kriging using Box-Cox transforms

map.to.lev()

rearrange data frame for plotting with levelplot

meuse.all

Meuse river data set -- original, full data set

meuse.alt

Meuse river altitude data set

ncp.grid

Grid for the NCP, the Dutch part of the North Sea

ossfim()

Kriging standard errors as function of grid spacing and block size

oxford

Oxford soil samples

pcb

PCB138 measurements in sediment at the NCP, the Dutch part of the North Sea

plot(<gstatVariogram>) plot(<variogramMap>) plot(<StVariogram>)

Plot a sample variogram, and possibly a fitted model

plot(<pointPairs>)

Plot a point pairs, identified from a variogram cloud

plot(<variogramCloud>)

Plot and Identify Data Pairs on Sample Variogram Cloud

predict(<gstat>)

Multivariable Geostatistical Prediction and Simulation

get_gstat_progress() set_gstat_progress()

Get or set progress indicator

show.vgms()

Plot Variogram Model Functions

sic2004

Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity

sic97

Spatial Interpolation Comparison 1997 data set: Swiss Rainfall

spplot.vcov()

Plot map matrix of prediction error variances and covariances

tull

Südliche Tullnerfeld data set

variogram(<gstat>) variogram(<formula>) variogram(<default>) print(<gstatVariogram>) print(<variogramCloud>)

Calculate Sample or Residual Variogram or Variogram Cloud

variogramLine()

Semivariance Values For a Given Variogram Model

variogramST()

Calculate Spatio-Temporal Sample Variogram

variogramSurface()

Semivariance values for a given spatio-temporal variogram model

vgm() print(<variogramModel>) plot(<variogramModel>) as.vgm.variomodel()

Generate, or Add to Variogram Model

vgm.panel.xyplot() panel.pointPairs()

panel functions for most of the variogram plots through lattice

vgmArea()

point-point, point-area or area-area semivariance

vgmAreaST()

Function that returns the covariances for areas

vgmST()

Constructing a spatio-temporal variogram

vv

Precomputed variogram for PM10 in data set air

walker

Walker Lake sample and exhaustive data sets

wind

Ireland wind data, 1961-1978