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fields (version 1.3-1)

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 any covariance function implemented in R can be used for spatial prediction.

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Version

Install

install.packages('fields')

Monthly Downloads

34,917

Version

1.3-1

License

GPL Version 2 or later.

Maintainer

Douglas Nychka

Last Published

October 1st, 2024

Functions in fields (1.3-1)

plot.surface

Plots a surface
image.count

Creates image for a 2-d histogram from irregular locations
predict.surface.se

Standard errors of predictions
stats

Calculate summary statistics
exp.cov

Exponential, Gaussian and "power" covariance family
as.image

Creates image from irregular x,y,z
bplot.xy

Boxplots for conditional distribution
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.
as.surface

Creates an "surface" object from grid values.
ozone2

Daily 8-hour ozone averages for sites in the Midwest
US.dat

Outline of coterminous US and states.
lennon

Gray image of John Lennon.
US

Plot of the US with state boundaries
Wtransform.image

Quadratic W wavelet transform for an image
fields internal

Fields internal and secondary functions
nkreg

Normal kernel regression estimate
make.Amatrix

Matrix relating predicted values to the dependent (Y) values
flame

Response surface experiment ionizing a reagent
world

Plot of the world
vgram

Finds a traditional or robust variogram for spatial data.
xline

Draw a vertical line
rdist

Euclidean distance matrix
summary.krig

Summary for Krig spatial process estimate
grid list

Grid list for describing equally spaced grids
ozone

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

Diagnostic and summary plots of the Krig object
vgram.matrix

Computes a variogram from an image
qsreg

Quantile or Robust spline regression
stats.bin

Bins data and finds some summary statistics.
Tps

Thin plate spline regression
image.smooth

Kernel smoother for irregular 2-d data
print.Krig

Print kriging fit results.
image.cov

Exponential,Gaussian, "power" and Matern covariance functions for 2-d gridded locations
interp.surface

Fast bilinear interpolator from a grid.
transformx

Linear transformation
predict.Krig

Evaluation of Krig spatial process estimate.
matern.cov

Matern covariance function
splint

Cubic spline interpolation
rdist.earth

Great circle distance matrix
bplot

boxplot
arrow.plot

Adds arrows to a plot
yline

Draw horizontal lines
sim.rf

Simulates a random field
smooth.2d

Kernel smoother for irregular 2-d data
Krig

Kriging surface estimate
rat.diet

Experiment studying an appetite supressant in rats.
Wtransform.sim

Simulates a 2-d random wavelet field
poisson.cov

Poisson spherical covariance function
sreg

Smoothing spline regression
image.plot

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

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

Standardized monthly precipitation for August 1963 inteh Rocky Mountain Region
set.panel

Specify a panel of plots
predict.se.Krig

Standard errors of predictions for Krig spatial process estimate
predict.se

Standard errors of predictions
predict.surface

Evaluates a fitted function as a surface object
plot.sreg

Plots smoothing spline regression object
minitri

Mini triathlon results
make.Amatrix.krig

Computes the prediction matrix for a Krig fit.
cover.design

Computes Space-Filling "Coverage" designs using Swapping Algorithm
surface.Krig

Plots a surface and contours
exp.image.cov

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