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fields (version 9.8-3)

Tools for Spatial Data

Description

For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions 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 function 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 as a companion to the manual pages. The commented source code can be viewed by expanding source code version and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI . Development of this package was supported in part by the National Science Foundation Grant 1417857 and the National Center for Atmospheric Research. See the Fields URL for a vignette on using this package and some background on spatial statistics.

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Version

Install

install.packages('fields')

Monthly Downloads

34,917

Version

9.8-3

License

GPL (>= 2)

Issues

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Maintainer

Douglas Nychka

Last Published

May 28th, 2019

Functions in fields (9.8-3)

QTps

Robust and Quantile smoothing using a thin-plate spline
cover.design

Computes Space-Filling "Coverage" designs using Swapping Algorithm
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.
add.image

Adds an image to an existing plot.
The Engines:

Basic linear algebra utilities and other computations supporting the Krig function.
US

Plot of the US with state boundaries
fields-stuff

Fields supporting functions
Krig.replicates

Collapse repeated spatial locations into unique locations
plot.Krig

Diagnostic and summary plots of a Kriging, spatialProcess or spline object.
bplot

boxplot
poly.image

Image plot for cells that are irregular quadrilaterals.
fields exported FORTRAN

FORTRAN subroutines used in fields functions
Krig.null.function

Default function to create fixed matrix part of spatial process model.
mKrigMLE

Maximizes likelihood for the process marginal variance (rho) and nugget standard deviation (sigma) parameters (e.g. lambda) over a many covariance models or covariance parameter values.
Colorado Monthly Meteorological Data

Monthly surface meterology for Colorado 1895-1997
RMprecip

Monthly total precipitation (mm) for August 1997 in the Rocky Mountain Region and some gridded 4km elevation data sets (m).
sreg

Cubic smoothing spline regression
arrow.plot

Adds arrows to a plot
Krig.Amatrix

Smoother (or "hat") matrix relating predicted values to the dependent (Y) values.
Exponential, Matern, Radial Basis

Covariance functions
as.image

Creates image from irregular x,y,z
as.surface

Creates an "surface" object from grid values.
Wendland

Wendland family of covariance functions and supporting numerical functions
fields

fields - tools for spatial data
quilt.plot

Image plot for irregular spatial data.
image.plot

Draws image plot with a legend strip for the color scale based on either a regular grid or a grid of quadrilaterals.
summary.ncdf

Summarizes a netCDF file handle
fields internal

Fields internal and secondary functions
US.dat

Outline of coterminous US and states.
Covariance functions

Exponential family, radial basis functions,cubic spline, compactly supported Wendland family and stationary covariances.
RCMexample

3-hour precipitation fields from a regional climate model
image.cov

Exponential, Matern and general covariance functions for 2-d gridded locations.
REML.test

Maximum Likelihood estimates for some Matern covariance parameters.
image.smooth

Kernel smoother for irregular 2-d data
image2lz

Some simple functions for subsetting images
WorldBankCO2

Carbon emissions and demographic covariables by country for 1999.
gcv.Krig

Finds profile likelihood and GCV estimates of smoothing parameters for splines and Kriging.
minitri

Mini triathlon results
rdist.earth

Great circle distance matrix or vector
grid list

Some simple functions for working with gridded data and the grid format (grid.list) used in fields.
ozone2

Daily 8-hour ozone averages for sites in the Midwest
transformx

Linear transformation
MLESpatialProcess

Estimates key covariance parameters for a spatial process.
qsreg

Quantile or Robust spline regression
compactToMat

Convert Matrix from Compact Vector to Standard Form
plot.surface

Plots a surface
CO2

Simulated global CO2 observations
drape.plot

Perspective plot draped with colors in the facets.
Krig

Kriging surface estimate
stats

Calculate summary statistics
interp.surface

Fast bilinear interpolator from a grid.
spatialProcess

Estimates a spatial process model.
CovarianceUpper

Evaluate covariance over upper triangle of distance matrix
supportsArg

Tests if function supports a given argument
bplot.xy

Boxplots for conditional distribution
mKrig.MLE

Maximizes likelihood for the process marginal variance (rho) and nugget standard deviation (sigma) parameters (e.g. lambda) over a many covariance models or covariance parameter values.
Chicago ozone test data

Data set of ozone measurements at 20 Chicago monitoring stations.
fields.grid

Using MKrig for predicting on a grid.
registeringCode

Information objects that register C and FORTRAN functions.
rat.diet

Experiment studying an appetite supressant in rats.
ribbon.plot

Adds to an existing plot, a ribbon of color, based on values from a color scale, along a sequence of line segments.
vgram.matrix

Computes a variogram from an image
Tps

Thin plate spline regression
smooth.2d

Kernel smoother for irregular 2-d data
set.panel

Specify a panel of plots
splint

Cubic spline interpolation
sim.spatialProcess

Conditional simulation of a spatial process
stats.bin

Bins data and finds some summary statistics.
predictSE

Standard errors of predictions for Krig spatial process estimate
sim.rf

Simulates a Stationary Gaussian random field
fields.hints

fields - graphics hints
xline

Draw a vertical line
yline

Draw horizontal lines
surface.Krig

Plots a surface and contours
colorbar.plot

Adds color scale strips to an existing plot.
world

Plot of the world
fields testing scripts

Testing fields functions
flame

Response surface experiment ionizing a reagent
print.Krig

Print kriging fit results.
pushpin

Adds a "push pin" to an existing 3-d plot
mKrig

"micro Krig" Spatial process estimate of a curve or surface, "kriging" with a known covariance function.
lennon

Gray image of John Lennon.
predictSurface

Evaluates a fitted function or the prediction error as a surface that is suitable for plotting with the image, persp, or contour functions.
predict.Krig

Evaluation of Krig spatial process estimate.
spam2lz

Conversion of formats for sparse matrices
vgram

Traditional or robust variogram methods for spatial data
tim.colors

Some useful color tables for images and tools to handle them.
rdist

Euclidean distance matrix or vector
summary.Krig

Summary for Krig or spatialProcess estimated models.
NorthAmericanRainfall

Observed North American summer precipitation from the historical climate network.