Learn R Programming
⚠️There's a newer version (16.3) of this package.Take me there.

fields (version 1.2)

Tools for spatial data

Description

Fields is a collection of programs for curve and function fitting with an emphasis on spatial data and spatial statistics. The major methods implemented include cubic and thin plate splines, universal Kriging and Kriging for large data sets. One main feature is that any covariance function implemented in R can be used for spatial prediction.

Copy Link

Version

Install

install.packages('fields')

Monthly Downloads

46,589

Version

1.2

License

GPL Version 2 or later.

Maintainer

Douglas Nychka

Last Published

October 1st, 2024

Functions in fields (1.2)

nkreg

Normal kernel regression estimate
bplot

boxplot
rdist.earth

Great circle distance matrix
interp.surface

Fast bilinear interpolator from a grid.
stats

Calculate summary statistics
fields internal

Fields internal and secondary functions
Tps

Thin plate spline regression
bplot.xy

Boxplots for conditional distribution
rat.diet

Experiment studying an appetite supressant in rats.
as.surface

Creates an "surface" object from grid values.
exp.cov

Exponential, Gaussian and "power" covariance family
make.Amatrix.krig

Computes the prediction matrix for a Krig fit.
Wtransform.image

Quadratic W wavelet transform for an image
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.
smooth.2d

Kernel smoother for irregular 2-d data
US

Plot of the US with state boundaries
transformx

Linear transformation
image.smooth

Kernel smoother for irregular 2-d data
vgram.matrix

Computes a variogram from an image
minitri

Mini triathlon results
cover.design

Computes Space-Filling "Coverage" designs using Swapping Algorithm
Wtransform.sim

Simulates a 2-d random wavelet field
sim.rf

Simulates a random field
predict.se

Standard errors of predictions
plot.Krig

Diagnostic and summary plots of the Krig object
matern.cov

Matern covariance function
US.dat

Outline of coterminous US and states.
Krig

Kriging surface estimate
set.panel

Specify a panel of plots
poisson.cov

Poisson spherical covariance function
sreg

Smoothing spline regression
vgram

Finds a traditional or robust variogram for spatial data.
world

Plot of the world
as.image

Creates image from irregular x,y,z
splint

Cubic spline interpolation
xline

Draw a vertical line
image.count

Creates image for a 2-d histogram from irregular locations
ozone

Data set of ozone measurements at 20 Chicago monitoring stations.
image.plot

Draws image plot with a legend strip for the color scale.
predict.Krig

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

Standard errors of predictions for Krig spatial process estimate
make.Amatrix

Matrix relating predicted values to the dependent (Y) values
krig.image

Spatial process estimate for large irregular 2-d dats sets.
plot.surface

Plots a surface
arrow.plot

Adds arrows to a plot
flame

Response surface experiment ionizing a reagent
grid list

Grid list for describing equally spaced grids
summary.krig

Summary for Krig spatial process estimate
rdist

Euclidean distance matrix
yline

Draw horizontal lines
print.Krig

Print kriging fit results.
lennon

Gray image of John Lennon.
exp.image.cov

Exponential,Gaussian and "power" covariance family for 2-d gridded locations
qsreg

Quantile or Robust spline regression
predict.surface

Evaluates a fitted function as a surface object
precip

Standardized monthly precipitation for August 1963 inteh Rocky Mountain Region
plot.sreg

Plots smoothing spline regression object
surface.Krig

Plots a surface and contours
predict.surface.se

Standard errors of predictions
ozone2

Daily 8-hour ozone averages for sites in the Midwest
stats.bin

Bins data and finds some summary statistics.