| 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. |