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install.packages('fields')
Monthly Downloads
38,656
Version
13.3
License
GPL (>= 2)
Issues
1
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Repository
https://github.com/dnychka/fieldsRPackage
Maintainer
Douglas Nychka
Last Published
October 30th, 2021
Functions in fields (13.3)
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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.
The Engines:
Basic linear algebra utilities and other computations supporting the Krig function.
Colorado Monthly Meteorological Data
Monthly surface meterology for Colorado 1895-1997
CO2
Simulated global CO2 observations
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.
CovarianceUpper
Evaluate covariance over upper triangle of distance matrix
Exponential, Matern, Radial Basis
Covariance functions
Krig
Kriging surface estimate
Krig.replicates
Collapse repeated spatial locations into unique locations
US.dat
Outline of coterminous US and states.
Wendland
Wendland family of covariance functions and supporting numerical functions
QTps
Robust and Quantile smoothing using a thin-plate spline
NorthAmericanRainfall
Observed North American summer precipitation from the historical climate network.
KrigFindLambda
Finds profile likelihood and GCV estimates of smoothing parameters for splines and Kriging.
RMprecip
Monthly total precipitation (mm) for August 1997 in the Rocky Mountain Region and some gridded 4km elevation data sets (m).
RCMexample
3-hour precipitation fields from a regional climate model
colorbar.plot
Adds color scale strips to an existing plot.
bplot.xy
Boxplots for conditional distribution
US
Plot of the US with state boundaries
cover.design
Computes Space-Filling "Coverage" designs using Swapping Algorithm
Tps
Thin plate spline regression
compactToMat
Convert Matrix from Compact Vector to Standard Form
fields-stuff
Fields supporting functions
fields
fields - tools for spatial data
WorldBankCO2
Carbon emissions and demographic covariables by country for 1999.
add.image
Adds an image to an existing plot.
fields internal
Fields internal and secondary functions
as.surface
Creates an "surface" object from grid values.
Covariance functions
Exponential family, radial basis functions,cubic spline, compactly supported Wendland family and stationary covariances.
arrow.plot
Adds arrows to a plot
bplot
boxplot
as.image
Creates image from irregular x,y,z
envelopePlot
Add a shaded the region between two functions to an existing plot
flame
Response surface experiment ionizing a reagent
fields testing scripts
Testing fields functions
drape.plot
Perspective plot draped with colors in the facets.
image2lz
Some simple functions for subsetting images
fields.grid
Using MKrig for predicting on a grid.
imagePlot
Draws an image plot with a legend strip for the color scale based on either a regular grid or a grid of quadrilaterals.
fields.hints
fields - graphics hints
image.cov
Exponential, Matern and general covariance functions for 2-d gridded locations.
grid list
Some simple functions for working with gridded data and the grid format (grid.list) used in fields.
interp.surface
Fast bilinear interpolator from a grid.
image.smooth
Kernel smoother for irregular 2-d data
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.
predictSurface
Evaluates a fitted function or the prediction error as a surface that is suitable for plotting with the image, persp, or contour functions.
minitri
Mini triathlon results
lennon
Gray image of John Lennon.
predictSE
Standard errors of predictions for Krig spatial process estimate
rdist.earth
Great circle distance matrix or vector
registeringCode
Information objects that register C and FORTRAN functions.
offGridWeights
Weights to predict off grid locations from a rectangular grid using nearest neighbors and Kriging.
ozone2
Daily 8-hour ozone averages for sites in the Midwest
Chicago ozone test data
Data set of ozone measurements at 20 Chicago monitoring stations.
mKrig
"micro Krig" Spatial process estimate of a curve or surface, "kriging" with a known covariance function.
mKrigMLE
Maximizes likelihood for the process marginal variance (sigma) and nugget standard deviation (tau) parameters (e.g. lambda) over a many covariance models or covariance parameter values.
plot.Krig
Diagnostic and summary plots of a Kriging, spatialProcess or spline object.
plot.surface
Plots a surface
rat.diet
Experiment studying an appetite supressant in rats.
spatialProcess
Estimates a spatial process model.
rdist
Euclidean distance matrix or vector
sim.spatialProcess
Conditional simulation of a spatial process
supportsArg
Tests if function supports a given argument
splint
Cubic spline interpolation
summary.ncdf
Summarizes a netCDF file handle
yline
Draw horizontal lines
xline
Draw a vertical line
pushpin
Adds a "push pin" to an existing 3-d plot
print.Krig
Print kriging fit results.
circulantEmbedding
Efficiently Simulates a Stationary 1 and 2D Gaussian random fields
surface.Krig
Plots a surface and contours
sreg
Cubic smoothing spline regression
world
Plot of the world
vgram.matrix
Computes a variogram from an image
qsreg
Quantile or Robust spline regression
stats
Calculate summary statistics
tim.colors
Some useful color tables for images and tools to handle them.
predict.Krig
Evaluation of Krig spatial process estimate.
poly.image
Image plot for cells that are irregular quadrilaterals.
quilt.plot
Useful plots for visualizing irregular spatial data.
vgram
Traditional or robust variogram methods for spatial data
summary.Krig
Summary for Krig or spatialProcess estimated models.
transformx
Linear transformation
stats.bin
Bins data and finds some summary statistics.
spam2lz
Conversion of formats for sparse matrices
smooth.2d
Kernel smoother for irregular 2-d data
ribbon.plot
Adds to an existing plot, a ribbon of color, based on values from a color scale, along a sequence of line segments.
set.panel
Specify a panel of plots