Package: gstat 2.1-3
Edzer Pebesma
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.
Authors:
gstat_2.1-3.tar.gz
gstat_2.1-3.tar.gz(r-4.5-noble)gstat_2.1-3.tar.gz(r-4.4-noble)
gstat_2.1-3.tgz(r-4.4-emscripten)gstat_2.1-3.tgz(r-4.3-emscripten)
gstat.pdf |gstat.html✨
gstat/json (API)
NEWS
| # Install 'gstat' in R: |
| install.packages('gstat', repos = 'https://cloud.r-project.org') |
Bug tracker:https://github.com/r-spatial/gstat/issues51 issues
Pkgdown site:https://r-spatial.github.io
- Chlorid92 - Südliche Tullnerfeld data set
- DE_RB_2005 - Spatio-temporal data set with rural background PM10 concentrations in Germany 2005
- TULLNREG - Südliche Tullnerfeld data set
- coalash - Coal ash samples from a mine in Pennsylvania
- demstd - Spatial Interpolation Comparison 1997 data set: Swiss Rainfall
- fulmar - Fulmaris glacialis data
- jura.grid - Jura data set
- jura.pred - Jura data set
- jura.val - Jura data set
- juragrid.dat - Jura data set
- meuse.all - Meuse river data set - original, full data set
- meuse.alt - Meuse river altitude data set
- ncp.grid - Grid for the NCP, the Dutch part of the North Sea
- oxford - Oxford soil samples
- pcb - PCB138 measurements in sediment at the NCP, the Dutch part of the North Sea
- prediction.dat - Jura data set
- sic.grid - Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity
- sic.pred - Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity
- sic.test - Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity
- sic.train - Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity
- sic.val - Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity
- sic_full - Spatial Interpolation Comparison 1997 data set: Swiss Rainfall
- sic_obs - Spatial Interpolation Comparison 1997 data set: Swiss Rainfall
- transect.dat - Jura data set
- tull36 - Südliche Tullnerfeld data set
- validation.dat - Jura data set
- vv - Precomputed variogram for PM10 in data set air
- walker - Walker Lake sample and exhaustive data sets
- walker.exh - Walker Lake sample and exhaustive data sets
- wind - Ireland wind data, 1961-1978
- wind.loc - Ireland wind data, 1961-1978
Conda:r-gstat-2.1_0(2025-03-25)
Last updated 2 months agofrom:e3ed1f37e6. Checks:3 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 07 2025 |
| R-4.5-linux-x86_64 | OK | Mar 07 2025 |
| R-4.4-linux-x86_64 | OK | Mar 07 2025 |
Exports:[.gstatas.vgm.variomodelcross.nameestiStAniextractParextractParNamesfit.lmcfit.StVariogramfit.variogramfit.variogram.glsfit.variogram.remlget_gstat_progressget.contrgstatgstat.cvhscatidwidw0krigekrige.cvkrige0krigeSimCEkrigeSTkrigeSTSimTBkrigeSTTgkrigeTgmap.to.levossfimpanel.pointPairsset_gstat_progressshow.vgmsspplot.vcovvariogramvariogramLinevariogramSTvariogramSurfacevgmvgm.panel.xyplotvgmAreavgmAreaSTvgmSTxyz2img
Dependencies:abindclassclassIntDBIe1071FNNintervalsKernSmoothlatticemagrittrMASSproxyRcpprlangs2sfsftimespspacetimestarsunitswkxtszoo
Introduction to Spatio-Temporal Variography
Rendered fromst.Rnwusingutils::Sweaveon Mar 07 2025.Last update: 2015-10-18
Started: 2013-09-03
Spatio-Temporal Geostatistics using gstat
Rendered fromspatio-temporal-kriging.Rnwusingutils::Sweaveon Mar 07 2025.Last update: 2017-01-11
Started: 2015-06-05
The meuse data set: a tutorial for the gstat R package
Rendered fromgstat.Rnwusingutils::Sweaveon Mar 07 2025.Last update: 2022-03-14
Started: 2013-09-03
The pairwise relative semivariogram
Rendered fromprs.Rnwusingutils::Sweaveon Mar 07 2025.Last update: 2015-06-05
Started: 2013-09-03
Citation
To cite package gstat in publications use:
Pebesma, E.J., 2004. Multivariable geostatistics in S: the gstat package. Computers & Geosciences, 30: 683-691.
Benedikt Gräler, Edzer Pebesma and Gerard Heuvelink, 2016. Spatio-Temporal Interpolation using gstat. The R Journal 8(1), 204-218
Corresponding BibTeX entries:
@Article{,
title = {Multivariable geostatistics in {S}: the gstat package},
author = {Edzer J. Pebesma},
journal = {Computers & Geosciences},
year = {2004},
volume = {30},
pages = {683-691},
}
@Article{,
title = {Spatio-Temporal Interpolation using gstat},
author = {Benedikt Gräler and Edzer Pebesma and Gerard Heuvelink},
year = {2016},
journal = {The R Journal},
volume = {8},
issue = {1},
pages = {204-218},
url =
{https://journal.r-project.org/archive/2016/RJ-2016-014/index.html},
}
