fields: 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 Gaussian spatial process prediction (known as Kriging), cubic and thin plate splines, and compactly supported
covariance functions for large data sets. The spline and spatial process
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 maximum likelihood. For spatial process prediction
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. As included are fast approximations for prediction
and conditional simulation for larger data sets.
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 based the R sparse matrix package spam. Use
help(fields) to get started and for an overview. All package graphics functions
focus on extending base R graphics and are easy to interpret and modify.
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 the source code version of this package
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, the National Center for Atmospheric Research, and Colorado School of Mines.
See the Fields URL
for a vignette on using this package and some background on spatial statistics.
Version:
17.1
Published:
2025年09月08日
Author:
Douglas Nychka [aut, cre],
Reinhard Furrer [aut],
John Paige [aut],
Stephan Sain [aut],
Florian Gerber [aut],
Matthew Iverson [aut],
Rider Johnson [aut]
Maintainer:
Douglas Nychka <douglasnychka at gmail.com>
NeedsCompilation:
yes
Documentation:
Downloads:
Reverse dependencies:
Reverse depends:
aSPU,
Canopy,
CCA,
CNLTtsa,
EMD,
ExpAnalysis3d,
fpa,
geoelectrics,
GeoModels,
geosptdb,
gwrr,
highriskzone,
LatticeKrig,
metapone,
mvLSW,
RadioSonde,
RnBeads,
SpatialVx,
SpeCond,
spThin,
SynchWave,
TIMP,
TrackReconstruction,
verification,
Voss
Reverse imports:
ADPclust,
ASMap,
astrochron,
autoFRK,
autoimage,
aweSOM,
BallMapper,
BayesLCA,
BayesNetBP,
bayesPop,
biClassify,
binspp,
bioRad,
bipartite,
biwavelet,
bkmr,
BMRMM,
BoundaryStats,
BRcal,
CARDspa,
ccTensor,
chillR,
ciftiTools,
CJIVE,
cmR,
cmsafops,
cmsafvis,
CoastlineFD,
cobin,
cocons,
convoSPAT,
cope,
corr2D,
CSHShydRology,
dartR,
dartR.sim,
dcTensor,
deepspat,
DNAmf,
DNAshapeR,
eDITH,
eFCM,
EGRET,
envi,
ETAS,
etasFLP,
ETRep,
eyeris,
fcfdr,
fdasrvf,
fence,
FLightR,
fnets,
foreSIGHT,
fsbrain,
funData,
gainML,
gateR,
GeneralizedWendland,
GeoAdjust,
GEOmap,
georob,
geospt,
GeoThinneR,
goeveg,
GPFDA,
GPvecchia,
GRIDCOPULA,
hero,
hht,
Hmsc,
iCNV,
infraFDTD.assist,
JOPS,
klovan,
landsepi,
lgcp,
LMERConvenienceFunctions,
mappoly,
ModelMap,
MOLHD,
mousetrap,
mrbsizeR,
MRFA,
MSIMST,
Mulcom,
MultiObjMatch,
multiScaleR,
NCutYX,
NetVAR,
nnTensor,
nucim,
oceanmap,
OCNet,
OptimaRegion,
paramGUI,
PEIP,
pepStat,
plsgenomics,
popsom7,
ppgm,
prevR,
pspatreg,
Pv3Rs,
qfa,
ramps,
reslr,
RFOC,
rhcoclust,
rivnet,
Rmfrac,
RNCEP,
robflreg,
rsat,
rworldmap,
SafeVote,
scBio,
scDD,
Semblance,
SensMap,
siland,
sincell,
singleCellTK,
smosr,
soilphysics,
spant,
sparrpowR,
SpatialExtremes,
SpatialVS,
SpATS,
spatsurv,
spBayesSurv,
SpectralMap,
spm2,
spmoran,
stilt,
StMoMo,
stocc,
stopp,
stxplore,
SUMMER,
SurvCorr,
swaglm,
TFARM,
TideCurves,
topologyGSA,
treespace,
TwoTimeScales,
uci,
Umatrix,
vectorwavelet,
voluModel,
vote,
warpMix,
wavScalogram,
waywiser,
WRTDStidal,
wsyn
Reverse suggests:
AHMbook,
AMAPVox,
asymLD,
backShift,
bamlss,
bandle,
bigGP,
BoneProfileR,
climatol,
dandelionR,
dartR.base,
dartR.captive,
dartR.popgen,
DEGraph,
ebirdst,
EFDR,
ensembleBMA,
ensembleMOS,
epimdr,
ExtremalDep,
extRemes,
fdaACF,
FDboost,
GeneralizedUmatrix,
GeneralizedUmatrixGPU,
GpGp,
gravmagsubs,
gstat,
guidedPLS,
HelpersMG,
HPLB,
HRW,
lava,
mariner,
MBHdesign,
mboost,
multiocc,
npsp,
pedometrics,
phenology,
pliman,
PoweREST,
prioritizr,
ProjectionBasedClustering,
pRoloc,
QUBIC,
R2BayesX,
raster,
recurse,
RSA,
RSAtools,
SeBR,
simBKMRdata,
SimSurvey,
sjSDM,
smoothie,
spam,
SpatMCA,
SpatPCA,
spBPS,
SpiceFP,
spreval,
steps,
swdft,
Thermimage
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