# fields v10.3

Monthly downloads

## Tools for Spatial Data

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 <doi:10.5065/D6W957CT>. 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.

## Functions in fields

Name | Description | |

fields exported FORTRAN | FORTRAN subroutines used in fields functions | |

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. | |

Colorado Monthly Meteorological Data | Monthly surface meterology for Colorado 1895-1997 | |

CO2 | Simulated global CO2 observations | |

CovarianceUpper | Evaluate covariance over upper triangle of distance matrix | |

Exponential, Matern, Radial Basis | Covariance functions | |

Krig.Amatrix | Smoother (or "hat") matrix relating predicted values to the dependent (Y) values. | |

Krig.null.function | Default function to create fixed matrix part of spatial process model. | |

The Engines: | Basic linear algebra utilities and other computations supporting the Krig function. | |

Krig | Kriging surface estimate | |

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). | |

Krig.replicates | Collapse repeated spatial locations into unique locations | |

NorthAmericanRainfall | Observed North American summer precipitation from the historical climate network. | |

QTps | Robust and Quantile smoothing using a thin-plate spline | |

MLESpatialProcess | Estimates key covariance parameters for a spatial process. | |

colorbar.plot | Adds color scale strips to an existing plot. | |

arrow.plot | Adds arrows to a plot | |

add.image | Adds an image to an existing plot. | |

REML.test | Maximum Likelihood estimates for some Matern covariance parameters. | |

compactToMat | Convert Matrix from Compact Vector to Standard Form | |

WorldBankCO2 | Carbon emissions and demographic covariables by country for 1999. | |

fields.hints | fields - graphics hints | |

lennon | Gray image of John Lennon. | |

fields testing scripts | Testing fields functions | |

fields internal | Fields internal and secondary functions | |

US.dat | Outline of coterminous US and states. | |

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. | |

bplot | boxplot | |

drape.plot | Perspective plot draped with colors in the facets. | |

fields.grid | Using MKrig for predicting on a grid. | |

fields | fields - tools for spatial data | |

ozone2 | Daily 8-hour ozone averages for sites in the Midwest | |

bplot.xy | Boxplots for conditional distribution | |

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

plot.Krig | Diagnostic and summary plots of a Kriging, spatialProcess or spline object. | |

image2lz | Some simple functions for subsetting images | |

Tps | Thin plate spline regression | |

fields-stuff | Fields supporting functions | |

image.cov | Exponential, Matern and general covariance functions for 2-d gridded locations. | |

US | Plot of the US with state boundaries | |

flame | Response surface experiment ionizing a reagent | |

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

predict.Krig | Evaluation of Krig spatial process estimate. | |

Wendland | Wendland family of covariance functions and supporting numerical functions | |

predictSE | Standard errors of predictions for Krig spatial process estimate | |

cover.design | Computes Space-Filling "Coverage" designs using Swapping Algorithm | |

interp.surface | Fast bilinear interpolator from a grid. | |

gcv.Krig | Finds profile likelihood and GCV estimates of smoothing parameters for splines and Kriging. | |

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

minitri | Mini triathlon results | |

registeringCode | Information objects that register C and FORTRAN functions. | |

Chicago ozone test data | Data set of ozone measurements at 20 Chicago monitoring stations. | |

summary.Krig | Summary for Krig or spatialProcess estimated models. | |

summary.ncdf | Summarizes a netCDF file handle | |

envelopePlot | Add a shaded the region between two functions to an existing plot | |

spam2lz | Conversion of formats for sparse matrices | |

spatialProcess | Estimates a spatial process model. | |

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

as.surface | Creates an "surface" object from grid values. | |

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. | |

plot.surface | Plots a surface | |

image.smooth | Kernel smoother for irregular 2-d data | |

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

sim.rf | Simulates a Stationary Gaussian random field | |

poly.image | Image plot for cells that are irregular quadrilaterals. | |

print.Krig | Print kriging fit results. | |

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

splint | Cubic spline interpolation | |

qsreg | Quantile or Robust spline regression | |

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

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. | |

xline | Draw a vertical line | |

vgram | Traditional or robust variogram methods for spatial data | |

sreg | Cubic smoothing spline regression | |

sim.spatialProcess | Conditional simulation of a spatial process | |

rdist | Euclidean distance matrix or vector | |

rat.diet | Experiment studying an appetite supressant in rats. | |

quilt.plot | Image plot for irregular spatial data. | |

smooth.2d | Kernel smoother for irregular 2-d data | |

world | Plot of the world | |

vgram.matrix | Computes a variogram from an image | |

set.panel | Specify a panel of plots | |

yline | Draw horizontal lines | |

rdist.earth | Great circle distance matrix or vector | |

stats | Calculate summary statistics | |

stats.bin | Bins data and finds some summary statistics. | |

supportsArg | Tests if function supports a given argument | |

tim.colors | Some useful color tables for images and tools to handle them. | |

transformx | Linear transformation | |

surface.Krig | Plots a surface and contours | |

No Results! |

## Last month downloads

## Details

Date | 2020-03-02 |

License | GPL (>= 2) |

URL | https://github.com/NCAR/Fields |

NeedsCompilation | yes |

Packaged | 2020-02-03 18:13:15 UTC; nychka |

Repository | CRAN |

Date/Publication | 2020-02-04 16:30:02 UTC |

depends | maps , methods , R (>= 3.0) , spam |

Contributors | , Douglas Nychka, Reinhard Furrer, John Paige, Stephan Sain, Matthew Iverson |

#### Include our badge in your README

```
[![Rdoc](http://www.rdocumentation.org/badges/version/fields)](http://www.rdocumentation.org/packages/fields)
```