BD Data frame of the effect of buffer compositions on DNA strand displacement amplification. A 4-d regression data set with with replication. This is a useful test data set for exercising function fitting methods. CO2 Simulated global CO2 observations COmonthlyMet Monthly surface meterology for Colorado 1895-1997 ChicagoO3 Data set of ozone measurements at 20 Chicago monitoring stations. Exp.cov Exponential family, radial basis functions,cubic spline, compactly supported Wendland family and stationary covariances. Exponential Covariance functions ExponentialUpper Evaluate covariance over upper triangle of distance matrix Krig Kriging surface estimate Krig.Amatrix Smoother (or "hat") matrix relating predicted values to the dependent (Y) values. Krig.engine.default 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 KrigFindLambda Finds profile likelihood and GCV estimates of smoothing parameters for splines and Kriging. NorthAmericanRainfall Observed North American summer precipitation from the historical climate network. QTps Robust and Quantile smoothing using a thin-plate spline RCMexample 3-hour precipitation fields from a regional climate model RMprecip Monthly total precipitation (mm) for August 1997 in the Rocky Mountain Region and some gridded 4km elevation data sets (m). Tps Thin plate spline regression US Plot of the US with state boundaries US.dat Outline of coterminous US and states. Wendland Wendland family of covariance functions and supporting numerical functions WorldBankCO2 Carbon emissions and demographic covariables by country for 1999. add.image Adds an image to an existing plot. addToDiagC Information objects that register C and FORTRAN functions. arrow.plot Adds arrows to a plot as.image Creates image from irregular x,y,z as.surface Creates an "surface" object from grid values. bplot boxplot bplot.xy Boxplots for conditional distribution circulantEmbedding Efficiently Simulates a Stationary 1 and 2D Gaussian random fields colorbar.plot Adds color scale strips to an existing plot. compactToMat Convert Matrix from Compact Vector to Standard Form cover.design Computes Space-Filling "Coverage" designs using Swapping Algorithm drape.plot Perspective plot draped with colors in the facets. envelopePlot Add a shaded the region between two functions to an existing plot fields fields - tools for spatial data fields.duplicated.matrix Fields supporting functions fields.hints fields - graphics hints fields.tests Testing fields functions flame Response surface experiment ionizing a reagent glacier Franke's Glacier Elevation Data grid list Some simple functions for working with gridded data and the grid format (grid.list) used in fields. image.plot Draws an image plot with a legend strip for the color scale based on either a regular grid or a grid of quadrilaterals. image.smooth Kernel smoother for irregular 2-d data image2lz Some simple functions for subsetting images imagePlot Draws an image plot with a legend strip for the color scale based on either a regular grid or a grid of quadrilaterals. interp.surface Fast bilinear interpolator from a grid. lennon Gray image of John Lennon. mKrig "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. 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. minitri Mini triathlon results offGridWeights Utilities for fast spatial prediction. ozone2 Daily 8-hour ozone averages for sites in the Midwest plot.Krig Diagnostic and summary plots of a Kriging, spatialProcess or spline object. plot.surface Plots a surface poly.image Image plot for cells that are irregular quadrilaterals. predict.Krig Evaluation of Krig spatial process estimate. predictSE 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. print.Krig Print kriging fit results. pushpin Adds a "push pin" to an existing 3-d plot qsreg Quantile or Robust spline regression quilt.plot Useful plots for visualizing irregular spatial data. rat.diet Experiment studying an appetite supressant in rats. rdist Euclidean distance matrix or vector rdist.earth Great circle distance matrix or vector ribbon.plot Adds to an existing plot, a ribbon of color, based on values from a color scale, along a sequence of line segments. set.panel Specify a panel of plots sim.spatialProcess Unconditional and conditional simulation of a spatial process smooth.2d Kernel smoother for irregular 2-d data spatialProcess Estimates a spatial process model. spind2spam Conversion of formats for sparse matrices splint Cubic spline interpolation sreg Cubic smoothing spline regression stationary.image.cov Exponential, Matern and general covariance functions for 2-d gridded locations. stats Calculate summary statistics stats.bin Bins data and finds some summary statistics. summary.Krig Summary for Krig or spatialProcess estimated models. summary.ncdf Summarizes a netCDF file handle supportsArg Tests if function supports a given argument surface.Krig Plots a surface and contours tim.colors Some useful color tables for images and tools to handle them. transformx Linear transformation vgram Traditional or robust variogram methods for spatial data vgram.matrix Computes a variogram from an image world Plot of the world xline Draw a vertical line yline Draw horizontal lines