checkPredictGrid |
Unconditional and conditional simulation of a spatial process |
ChicagoO3 |
Data set of ozone measurements at 20 Chicago monitoring stations. |
circulantEmbedding |
Efficiently Simulates a Stationary 1 and 2D Gaussian random fields |
circulantEmbeddingSetup |
Efficiently Simulates a Stationary 1 and 2D Gaussian random fields |
CO.elev |
Monthly surface meterology for Colorado 1895-1997 |
CO.elevGrid |
Monthly surface meterology for Colorado 1895-1997 |
CO.Grid |
Monthly surface meterology for Colorado 1895-1997 |
CO.id |
Monthly surface meterology for Colorado 1895-1997 |
CO.loc |
Monthly surface meterology for Colorado 1895-1997 |
CO.names |
Monthly surface meterology for Colorado 1895-1997 |
CO.ppt |
Monthly surface meterology for Colorado 1895-1997 |
CO.ppt.MAM |
Monthly surface meterology for Colorado 1895-1997 |
CO.ppt.MAM.climate |
Monthly surface meterology for Colorado 1895-1997 |
CO.tmax |
Monthly surface meterology for Colorado 1895-1997 |
CO.tmax.MAM |
Monthly surface meterology for Colorado 1895-1997 |
CO.tmax.MAM.climate |
Monthly surface meterology for Colorado 1895-1997 |
CO.tmean.MAM.climate |
Monthly surface meterology for Colorado 1895-1997 |
CO.tmin |
Monthly surface meterology for Colorado 1895-1997 |
CO.tmin.MAM |
Monthly surface meterology for Colorado 1895-1997 |
CO.tmin.MAM.climate |
Monthly surface meterology for Colorado 1895-1997 |
CO.years |
Monthly surface meterology for Colorado 1895-1997 |
CO2 |
Simulated global CO2 observations |
CO2.true |
Simulated global CO2 observations |
coef.Krig |
Kriging surface estimate |
color.scale |
Some useful color tables for images and tools to handle them. |
colorBar |
Draws an image plot with a legend strip for the color scale based on either a regular grid or a grid of quadrilaterals. |
colorbar.plot |
Adds color scale strips to an existing plot. |
COmonthlyMet |
Monthly surface meterology for Colorado 1895-1997 |
compactToMat |
Convert Matrix from Compact Vector to Standard Form |
compactToMatC |
Information objects that register C and FORTRAN functions. |
confidenceIntervalMLE |
Estimates a spatial process model. |
cover.design |
Computes Space-Filling "Coverage" designs using Swapping Algorithm |
crop.image |
Some simple functions for subsetting images |
crossCoVGram |
Traditional or robust variogram methods for spatial data |
cubic.cov |
Exponential family, radial basis functions,cubic spline, compactly supported Wendland family, stationary covariances and non-stationary covariances. |
envelopePlot |
Add a shaded the region between two functions to an existing plot |
Exp.cov |
Exponential family, radial basis functions,cubic spline, compactly supported Wendland family, stationary covariances and non-stationary covariances. |
Exp.image.cov |
Exponential, Matern and general covariance functions for 2-d gridded locations. |
Exp.simple.cov |
Exponential family, radial basis functions,cubic spline, compactly supported Wendland family, stationary covariances and non-stationary covariances. |
Exponential |
Covariance functions |
ExponentialUpper |
Evaluate covariance over upper triangle of distance matrix |
ExponentialUpperC |
Information objects that register C and FORTRAN functions. |
Krig |
Kriging surface estimate |
Krig.Amatrix |
Smoother (or "hat") matrix relating predicted values to the dependent (Y) values. |
Krig.check.xY |
Basic linear algebra utilities and other computations supporting the Krig function. |
Krig.coef |
Basic linear algebra utilities and other computations supporting the Krig function. |
Krig.engine.default |
Basic linear algebra utilities and other computations supporting the Krig function. |
Krig.engine.fixed |
Basic linear algebra utilities and other computations supporting the Krig function. |
Krig.make.u |
Basic linear algebra utilities and other computations supporting the Krig function. |
Krig.make.W |
Basic linear algebra utilities and other computations supporting the Krig function. |
Krig.make.Wi |
Basic linear algebra utilities and other computations supporting the Krig function. |
Krig.null.function |
Default function to create fixed matrix part of spatial process model. |
Krig.replicates |
Collapse repeated spatial locations into unique locations |
Krig.transform.xY |
Basic linear algebra utilities and other computations supporting the Krig function. |
KrigFindLambda |
Finds profile likelihood and GCV estimates of smoothing parameters for splines and Kriging. |
make.surface.grid |
Some simple functions for working with gridded data and the grid format (grid.list) used in fields. |
makeMultiIndex |
Some simple functions for working with gridded data and the grid format (grid.list) used in fields. |
makePredictionGridList |
Unconditional and conditional simulation of a spatial process |
makeSimulationGrid |
Unconditional and conditional simulation of a spatial process |
Matern |
Covariance functions |
Matern.cor.to.range |
Covariance functions |
matern.image.cov |
Exponential, Matern and general covariance functions for 2-d gridded locations. |
minitri |
Mini triathlon results |
mKrig |
"micro Krig" Spatial process estimate of a curve or surface, "kriging" with a known covariance function. |
mKrig.coef |
"micro Krig" Spatial process estimate of a curve or surface, "kriging" with a known covariance function. |
mKrig.grid |
Using MKrig for predicting on a grid. |
mKrig.trace |
"micro Krig" Spatial process estimate of a curve or surface, "kriging" with a known covariance function. |
mKrigCheckXY |
"micro Krig" Spatial process estimate of a curve or surface, "kriging" with a known covariance function. |
mKrigFastPredict |
Evaluates a fitted function or the prediction error as a surface that is suitable for plotting with the image, persp, or contour functions. |
mKrigFastPredictSetup |
Utilities for fast spatial prediction. |
mKrigJointTemp.fn |
Maximizes likelihood for the process marginal variance (sigma) and nugget standard deviation (tau) parameters (e.g. lambda) over a many covariance models or covariance parameter values. |
mKrigMLEGrid |
Maximizes likelihood for the process marginal variance (sigma) and nugget standard deviation (tau) parameters (e.g. lambda) over a many covariance models or covariance parameter values. |
mKrigMLEJoint |
Maximizes likelihood for the process marginal variance (sigma) and nugget standard deviation (tau) parameters (e.g. lambda) over a many covariance models or covariance parameter values. |
mltdrb |
Information objects that register C and FORTRAN functions. |
multebC |
Information objects that register C and FORTRAN functions. |
multwendlandg |
Information objects that register C and FORTRAN functions. |
Paciorek.cov |
Exponential family, radial basis functions,cubic spline, compactly supported Wendland family, stationary covariances and non-stationary covariances. |
parse.grid.list |
Some simple functions for working with gridded data and the grid format (grid.list) used in fields. |
plot.Krig |
Diagnostic and summary plots of a Kriging, spatialProcess or spline object. |
plot.spatialProcess |
Estimates a spatial process model. |
plot.sreg |
Diagnostic and summary plots of a Kriging, spatialProcess or spline object. |
plot.surface |
Plots a surface |
plot.vgram |
Traditional or robust variogram methods for spatial data |
plot.vgram.matrix |
Computes a variogram from an image |
plotMatrix |
Draws an image plot with a legend strip for the color scale based on either a regular grid or a grid of quadrilaterals. |
poly.image |
Image plot for cells that are irregular quadrilaterals. |
poly.image.regrid |
Image plot for cells that are irregular quadrilaterals. |
predict.fastTps |
Evaluation of Krig spatial process estimate. |
predict.Krig |
Evaluation of Krig spatial process estimate. |
predict.mKrig |
"micro Krig" Spatial process estimate of a curve or surface, "kriging" with a known covariance function. |
predict.sreg |
Cubic smoothing spline regression |
predict.Tps |
Evaluation of Krig spatial process estimate. |
predictDerivative.Krig |
Evaluation of Krig spatial process estimate. |
predictSE |
Standard errors of predictions for Krig spatial process estimate |
predictSE.Krig |
Standard errors of predictions for Krig spatial process estimate |
predictSE.mKrig |
Standard errors of predictions for Krig spatial process estimate |
predictSEUsingKrigA |
Standard errors of predictions for Krig spatial process estimate |
predictSurface |
Evaluates a fitted function or the prediction error as a surface that is suitable for plotting with the image, persp, or contour functions. |
predictSurface.default |
Evaluates a fitted function or the prediction error as a surface that is suitable for plotting with the image, persp, or contour functions. |
predictSurface.fastTps |
Evaluates a fitted function or the prediction error as a surface that is suitable for plotting with the image, persp, or contour functions. |
predictSurface.Krig |
Evaluates a fitted function or the prediction error as a surface that is suitable for plotting with the image, persp, or contour functions. |
predictSurface.mKrig |
Evaluates a fitted function or the prediction error as a surface that is suitable for plotting with the image, persp, or contour functions. |
predictSurfaceSE |
Evaluates a fitted function or the prediction error as a surface that is suitable for plotting with the image, persp, or contour functions. |
predictSurfaceSE.default |
Evaluates a fitted function or the prediction error as a surface that is suitable for plotting with the image, persp, or contour functions. |
print.Krig |
Print kriging fit results. |
print.mKrig |
"micro Krig" Spatial process estimate of a curve or surface, "kriging" with a known covariance function. |
print.mKrigSummary |
"micro Krig" Spatial process estimate of a curve or surface, "kriging" with a known covariance function. |
print.spatialProcess |
Estimates a spatial process model. |
print.spatialProcessSummary |
Estimates a spatial process model. |
PRISMelevation |
Monthly total precipitation (mm) for August 1997 in the Rocky Mountain Region and some gridded 4km elevation data sets (m). |
profileCI |
Maximizes likelihood for the process marginal variance (sigma) and nugget standard deviation (tau) parameters (e.g. lambda) over a many covariance models or covariance parameter values. |
profileMLE |
Estimates a spatial process model. |
pushpin |
Adds a "push pin" to an existing 3-d plot |
Rad.cov |
Exponential family, radial basis functions,cubic spline, compactly supported Wendland family, stationary covariances and non-stationary covariances. |
Rad.image.cov |
Exponential, Matern and general covariance functions for 2-d gridded locations. |
Rad.simple.cov |
Exponential family, radial basis functions,cubic spline, compactly supported Wendland family, stationary covariances and non-stationary covariances. |
RadialBasis |
Covariance functions |
rat.diet |
Experiment studying an appetite supressant in rats. |
RCMexample |
3-hour precipitation fields from a regional climate model |
rdist |
Euclidean distance matrix or vector |
rdist.earth |
Great circle distance matrix or vector |
rdist.earth.vec |
Great circle distance matrix or vector |
rdist.vec |
Euclidean distance matrix or vector |
RdistC |
Information objects that register C and FORTRAN functions. |
RdistEarth |
Great circle distance matrix or vector |
resid.Krig |
Kriging surface estimate |
ribbon.plot |
Adds to an existing plot, a ribbon of color, based on values from a color scale, along a sequence of line segments. |
RMelevation |
Monthly total precipitation (mm) for August 1997 in the Rocky Mountain Region and some gridded 4km elevation data sets (m). |
RMprecip |
Monthly total precipitation (mm) for August 1997 in the Rocky Mountain Region and some gridded 4km elevation data sets (m). |
set.panel |
Specify a panel of plots |
setup.image.smooth |
Kernel smoother for irregular 2-d data |
setupLegend |
Draws an image plot with a legend strip for the color scale based on either a regular grid or a grid of quadrilaterals. |
sim.Krig |
Unconditional and conditional simulation of a spatial process |
sim.rf |
Efficiently Simulates a Stationary 1 and 2D Gaussian random fields |
sim.spatialProcess |
Unconditional and conditional simulation of a spatial process |
simLocal.spatialProcess |
Unconditional and conditional simulation of a spatial process |
simSpatialData |
Unconditional and conditional simulation of a spatial process |
smooth.2d |
Kernel smoother for irregular 2-d data |
snow.colors |
Some useful color tables for images and tools to handle them. |
spam2full |
Conversion of formats for sparse matrices |
spam2spind |
Conversion of formats for sparse matrices |
spatialProcess |
Estimates a spatial process model. |
spatialProcessSetDefaults |
Estimates a spatial process model. |
spind2full |
Conversion of formats for sparse matrices |
spind2spam |
Conversion of formats for sparse matrices |
splint |
Cubic spline interpolation |
sreg |
Cubic smoothing spline regression |
stationary.cov |
Exponential family, radial basis functions,cubic spline, compactly supported Wendland family, stationary covariances and non-stationary covariances. |
stationary.image.cov |
Exponential, Matern and general covariance functions for 2-d gridded locations. |
stationary.taper.cov |
Exponential family, radial basis functions,cubic spline, compactly supported Wendland family, stationary covariances and non-stationary covariances. |
stats |
Calculate summary statistics |
stats.bin |
Bins data and finds some summary statistics. |
summary.Krig |
Summary for Krig or spatialProcess estimated models. |
summary.mKrig |
"micro Krig" Spatial process estimate of a curve or surface, "kriging" with a known covariance function. |
summary.ncdf |
Summarizes a netCDF file handle |
summary.spatialProcess |
Estimates a spatial process model. |
supportsArg |
Tests if function supports a given argument |
surface.Krig |
Plots a surface and contours |
surface.mKrig |
Plots a surface and contours |
Wendland |
Wendland family of covariance functions and supporting numerical functions |
Wendland.beta |
Wendland family of covariance functions and supporting numerical functions |
wendland.cov |
Exponential family, radial basis functions,cubic spline, compactly supported Wendland family, stationary covariances and non-stationary covariances. |
wendland.eval |
Wendland family of covariance functions and supporting numerical functions |
wendland.image.cov |
Exponential, Matern and general covariance functions for 2-d gridded locations. |
Wendland2.2 |
Wendland family of covariance functions and supporting numerical functions |
which.max.image |
Some simple functions for subsetting images |
which.max.matrix |
Some simple functions for subsetting images |
world |
Plot of the world |
world.color |
Plot of the world |
world.land |
Plot of the world |
WorldBankCO2 |
Carbon emissions and demographic covariables by country for 1999. |