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.
Monthly surface meterology for Colorado 1895-1997
Simulated global CO2 observations
Covariance functions
Smoother (or "hat") matrix relating predicted values to the dependent 
(Y) values.
Kriging surface estimate
Basic linear algebra utilities and other 
    computations supporting the Krig function.
Default function to create fixed matrix part of spatial process model.
3-hour precipitation fields from a regional climate model
Monthly total precipitation (mm) for August 1963 in the Rocky Mountain 
Region and some gridded 4km elevation data sets.
Thin plate spline regression
Plot of the US with state boundaries
Outline of coterminous US and states.
Gives indexing imfomration for a wavelet decompostion
Wendland family of covariance functions and supporting 
numerical functions
Functions for W-transform based covariance models
Finds key indices related to a 2-d multiresolution
Plot to check 2-d multiresolution indexing
Quadratic W wavelet transform for 1-d vectors or  rectangular or 
cylindrical images
Adds an image to an existing plot.
Adds arrows to a plot
Creates image from irregular x,y,z
Creates an "surface" object from grid values.
boxplot
Boxplots for conditional distribution
Adds color scale strips to an existing plot.
Computes Space-Filling "Coverage" designs using Swapping Algorithm
Multiplying diagonal matrices  in Package 'fields'
Perspective plot draped with colors in the facets.
Exponential  family, radial basis 
functions,cubic spline,  compactly  supported Wendland family and 
stationary covariances.
Fields internal and secondary functions
Fields supporting functions
fields - tools for spatial data
Using MKrig for predicting on a grid.
fields - graphics hints
Testing fields functions
Response surface experiment ionizing a reagent
Finds profile likelihood and GCV estimates of 
smoothing parameters for splines and Kriging.
Some simple functions for working with gridded data and 
the grid format (grid.list) used in fields.
Exponential, Matern and general covariance functions for 2-d 
gridded locations.
Draws image plot with a legend strip for the color scale based on either
a regular grid or a grid of quadrilaterals.
Kernel smoother for irregular 2-d data
Some simple functions for subsetting images
Fast bilinear interpolator from a grid.
Spatial process estimate for large irregular 2-d dats sets.
Gray image of John Lennon.
"micro Krig"  Spatial process estimate of a curve or surface, 
"kriging" with a known covariance function.
Mini triathlon results
Data set of ozone measurements at 20 Chicago monitoring stations.
Daily 8-hour ozone averages for sites in the Midwest
Diagnostic and summary plots of a Kriging or spline object
Plots 2-d wavelet coefficents by level and type
Plots a surface
Poisson spherical covariance function
Image plot for cells that are irregular quadrilaterals.
Evaluation of Krig spatial process estimate.
Standard errors of predictions for Krig spatial process estimate
Standard errors of predictions
Evaluates a fitted function or its standard errors as a surface object
Print kriging fit results.
Adds a "push pin" to an existing  3-d plot
Quantile or Robust spline regression
Image plot for irregular spatial data.
Experiment studying an appetite supressant in rats.
Euclidean distance matrix
Great circle distance matrix
Adds to an existing plot, a ribbon of color, based on values from
a color scale, along a sequence of line segments.
Specify a panel of plots
Conditonal simulation of a spatial process
Simulates a random field
Kernel smoother for irregular 2-d data
Conversion of formats for sparse matrices
Cubic spline interpolation
Smoothing spline regression
Calculate summary statistics
Bins data and finds some summary statistics.
Summary for Krig spatial process estimate
Summarizes a netCDF file handle
Plots a surface and contours
Some useful color tables for images.
Linear transformation
Finds a traditional or robust variogram for spatial data.
Computes a variogram from an image
Plot of the world
Draw a vertical line
Draw horizontal lines