gstat: Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation

Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.

Version: 2.0-6
Depends: R (≥ 2.10)
Imports: utils, stats, graphics, methods, lattice, sp (≥ 0.9-72), zoo, spacetime (≥ 1.0-0), FNN
Suggests: fields, maps, mapdata, maptools, rgdal (≥ 0.5.2), rgeos, sf (≥ 0.7-2), stars (≥ 0.3-0), xts, raster, future, future.apply
Published: 2020-05-18
Author: Edzer Pebesma ORCID iD [aut, cre], Benedikt Graeler [aut]
Maintainer: Edzer Pebesma <edzer.pebesma at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: yes
Citation: gstat citation info
Materials: NEWS
In views: Spatial, SpatioTemporal
CRAN checks: gstat results


Reference manual: gstat.pdf
Vignettes: The meuse data set: a tutorial for the gstat R package
The pairwise relative semivariogram
Spatio-Temporal Geostatistics using gstat
Introduction to Spatio-Temporal Variography
Package source: gstat_2.0-6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: gstat_2.0-6.tgz, r-oldrel: gstat_2.0-6.tgz
Old sources: gstat archive

Reverse dependencies:

Reverse depends: geospt, intkrige, phenmod, RSAGA, UBL
Reverse imports: AFM, atakrig, automap, covatest, EFDR, FeedbackTS, geozoning, gmGeostats, GSIF, hydroTSM, intamap, intamapInteractive, ltsk, mapsRinteractive, meteo, plotKML, prevR, psgp, rtop, smartR, spatialrisk, spDates, spm, spup, STMedianPolish, SurfaceTortoise, variosig, VTrack, windfarmGA
Reverse suggests: agridat, berryFunctions, climatol, dismo, FRK, gear, georob, GET, GWmodel, inlmisc, ipdw, lidR, palaeoSig, pedometrics, raster, rsinaica, sp, spacetime, spatialEco, spcosa, spemd, spsann, sptotal, stars, varycoef


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