fields (5.02)

Tools for spatial data.

Fields is for curve, surface and function fitting with an emphasis on splines, spatial data and spatial statistics. The major methods include cubic, robust, and thin plate splines, multivariate Kriging and Kriging for large data sets. One main feature is any covariance function implemented in R can be used for spatial prediction. There are also useful functions for plotting and working with spatial data as images. This package also contains an implementation of a sparse matrix methods for large data sets and currently requires the sparse matrix (spam) package for testing (but not for the standard spatial functions.) Use help(fields) to get started and for an overview.

Maintainer: Doug Nychka
Author(s): Reinhard Furrer, Douglas Nychka and Stephen Sain

License: GPL (>= 2)

Uses: spam
Reverse depends: ASMap, aSPU, BaySIC, biwavelet, Canopy, CCA, chillR, CircSpatial, cmsaf, CNLTtsa, CompModSA, CONOR, CONORData, crqa, earlywarnings, easystab, ecespa, EMD, esd4all, fpa, Geneclust, Geneland, geoelectrics, geosptdb, GeoXp, gptk, gwrr, hht, highriskzone, ibr, LatticeKrig, lgcp, LSC, ltsk, mgpd, ModelMap, mvLSW, nnDiag, odprism, palaeoSig, paramGUI, phenology, phylotools, prevR, ProbForecastGOP, qat, QLSpline, qqplotter, QuasiSeq, R2GUESS, ramps, RNCEP, rNOMADS, rworldmap, sGPCA, spatialfil, SpatialVx, SpatPCA, SpherWave, sphet, SPOT, stocc, SynchWave, TIMP, topologyGSA, UncerIn2, verification, Voss, WeedMap, wux
Reverse suggests: asymLD, backShift, bamlss, BaSAR, bayesLife, bayesPop, bayesTFR, bigGP, bipartite, climatol, CompRandFld, crimelinkage, DeLorean, ensembleBMA, ensembleMOS, expectreg, extRemes, FDboost, gstat, gstudio, HelpersMG, IPMpack, lava, LMERConvenienceFunctions, MBHdesign, mboost, mlr, MRIaggr, npsp, phenology, popgraph, RSA, rworldmap, smoothie, spam, SpatioTemporal, SPOT, spTest, taRifx.geo, Thermimage

Released about 8 years ago.