For curve, surface and function fitting with an emphasis on splines, spatial data and spatial statistics. The major methods include cubic, and thin plate splines, Kriging and compact covariances for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details in addition to the manual pages. The commented source code can be viewed by expanding the package source code "tarball" (ending in tar.gz) and looking in the R subdirectory. Please cite fields along with its DOI in your publications!
|Author||Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut]|
|Date of publication||2016-12-16 23:26:03|
|Maintainer||Douglas Nychka <email@example.com>|
|License||GPL (>= 2)|
add.image: Adds an image to an existing plot.
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.
BD: Data frame of the effect of buffer compositions on DNA strand...
bplot.xy: Boxplots for conditional distribution
CO: Monthly surface meterology for Colorado 1895-1997
CO2: Simulated global CO2 observations
colorbar.plot: Adds color scale strips to an existing plot.
compactToMat: Convert Matrix from Compact Vector to Standard Form
CovarianceUpper: Evaluate covariance over upper triangle of distance matrix
cover.design: Computes Space-Filling "Coverage" designs using Swapping...
drape.plot: Perspective plot draped with colors in the facets.
exp.cov: Exponential family, radial basis functions,cubic spline,...
Exponential: Covariance functions
fields: fields - tools for spatial data
fields.grid: Using MKrig for predicting on a grid.
fields.hints: fields - graphics hints
fields-internal: Fields internal and secondary functions
fields-stuff: Fields supporting functions
fields.tests: Testing fields functions
flame: Response surface experiment ionizing a reagent
FORTRAN.internal: FORTRAN subroutines used in fields functions
gcv.Krig: Finds profile likelihood and GCV estimates of smoothing...
grid.list: Some simple functions for working with gridded data and the...
image2lz: Some simple functions for subsetting images
image.cov: Exponential, Matern and general covariance functions for 2-d...
image.plot: Draws image plot with a legend strip for the color scale...
image.smooth: Kernel smoother for irregular 2-d data
interp.surface: Fast bilinear interpolator from a grid.
Krig: Kriging surface estimate
Krig.Amatrix: Smoother (or "hat") matrix relating predicted values to the...
Krig.engine.default: Basic linear algebra utilities and other computations...
Krig.null.function: Default function to create fixed matrix part of spatial...
Krig.replicates: Collapse repeated spatial locations into unique locations
lennon: Gray image of John Lennon.
minitri: Mini triathlon results
mKrig: "micro Krig" Spatial process estimate of a curve or surface,...
mKrigMLE: Maximizes likelihood for the process marginal variance (rho)...
mKrig.MLE: Maximizes likelihood for the process marginal variance (rho)...
MLESpatialProcess: Estimates key covariance parameters for a spatial process.
NorthAmericanRainfall: Observed North American summer precipitation from the...
ozone: Data set of ozone measurements at 20 Chicago monitoring...
ozone2: Daily 8-hour ozone averages for sites in the Midwest
plot.Krig: Diagnostic and summary plots of a Kriging, spatialProcess or...
plot.surface: Plots a surface
poly.image: Image plot for cells that are irregular quadrilaterals.
predict.Krig: Evaluation of Krig spatial process estimate.
predictSE.Krig: Standard errors of predictions for Krig spatial process...
predictSurface: Evaluates a fitted function or the prediction error as a...
print.Krig: Print kriging fit results.
pushpin: Adds a "push pin" to an existing 3-d plot
qsreg: Quantile or Robust spline regression
QTps: Robust and Quantile smoothing using a thin-plate spline
quilt.plot: Image plot for irregular spatial data.
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
REML.test: Maximum Likelihood estimates for some Matern covariance...
ribbon.plot: Adds to an existing plot, a ribbon of color, based on values...
RMprecip: Monthly total precipitation (mm) for August 1997 in the Rocky...
set.panel: Specify a panel of plots
sim.Krig: Conditional simulation of a spatial process
sim.rf: Simulates a Stationary Gaussian random field
smooth.2d: Kernel smoother for irregular 2-d data
spam2lz: Conversion of formats for sparse matrices
spatialProcess: Estimates a spatial process model.
splint: Cubic spline interpolation
sreg: Cubic smoothing spline regression
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.
Tps: Thin plate spline regression
transformx: Linear transformation
US: Plot of the US with state boundaries
US.dat: Outline of coterminous US and states.
vgram: Traditional or robust variogram methods for spatial data
vgram.matrix: Computes a variogram from an image
Wendland: Wendland family of covariance functions and supporting...
world: Plot of the world
WorldBank: Carbon emissions and demographic covariables by country for...
xline: Draw a vertical line
yline: Draw horizontal lines