fields: Tools for Spatial Data

For curve, surface and function fitting with an emphasis on splines, spatial data and spatial statistics. The major methods include cubic, and thin plate splines, Kriging and compact covariances for large data sets. The splines and Kriging methods are supporting by functions that can determine the smoothing parameter (nugget and sill variance) by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to function that also estimates the correlation scale (range). A major feature is that any covariance function implemented in R and following a simple fields 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 in addition to the manual pages. The commented source code can be viewed by expanding the source code .tar.gz file and looking in R subdirectory.

Version: 8.3-5
Depends: R (≥ 3.0), methods, spam, maps
Published: 2015-10-16
Author: Douglas Nychka [aut, cre], Reinhard Furrer [aut], John Paige [aut], Stephan Sain [aut]
Maintainer: Douglas Nychka <nychka at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
In views: Spatial
CRAN checks: fields results


Reference manual: fields.pdf
Package source: fields_8.3-5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Snow Leopard binaries: r-release: fields_8.2-1.tgz, r-oldrel: fields_8.2-1.tgz
OS X Mavericks binaries: r-release: fields_8.3-5.tgz
Old sources: fields archive

Reverse dependencies:

Reverse depends: ASMap, BaySIC, Canopy, CCA, chillR, cmsaf, crqa, eegAnalysis, EMD, Geneland, geosptdb, gptk, gwrr, highriskzone, ibeemd, LatticeKrig, LSC, mgpd, phenology, phylotools, ProbForecastGOP, R2GUESS, sGPCA, spatialfil, SpatialVx, SpherWave, spThin, stilt, SynchWave, TIMP, TrackReconstruction, verification, Voss, wux
Reverse imports: ADPclust, astrochron, BayesLCA, bayesPop, bipartite, biwavelet, CARrampsOcl, convoSPAT, cope, dynatopmodel, earlywarnings, eemR, EGRET, etasFLP, funcy, GeoLight, GEOmap, geospt, hglasso, hht, letsR, lgcp, LICORS, LMERConvenienceFunctions, ltsk, ModelMap, popsom, prevR, qat, qlcVisualize, ramps, RNCEP, rNOMADS, RsimMosaic, rworldmap, SEHmodel, smerc, sparseBC, SpatialExtremes, spatsurv, spTest, StMoMo, stocc, SurvCorr, TED, topologyGSA, vmsbase
Reverse suggests: backShift, bigGP, CompRandFld, crimelinkage, EFDR, ensembleBMA, ensembleMOS, expectreg, extRemes, FDboost, gstat, IPMpack, lava, mboost, mlr, MRIaggr, npsp, palaeoSig, popgraph, RSA, smoothie, spam, SpatioTemporal, SPOT, taRifx.geo, Thermimage