Package: gstat 2.1-2
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_2.1-2.tar.gz
gstat_2.1-2.zip(r-4.5)gstat_2.1-2.zip(r-4.4)gstat_2.1-2.zip(r-4.3)
gstat_2.1-2.tgz(r-4.4-x86_64)gstat_2.1-2.tgz(r-4.4-arm64)gstat_2.1-2.tgz(r-4.3-x86_64)gstat_2.1-2.tgz(r-4.3-arm64)
gstat_2.1-2.tar.gz(r-4.5-noble)gstat_2.1-2.tar.gz(r-4.4-noble)
gstat_2.1-2.tgz(r-4.4-emscripten)gstat_2.1-2.tgz(r-4.3-emscripten)
gstat.pdf |gstat.html✨
gstat/json (API)
NEWS
# Install 'gstat' in R: |
install.packages('gstat', repos = c('https://r-spatial.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/r-spatial/gstat/issues
- 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
Last updated 16 days agofrom:29a629c848. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 23 2024 |
R-4.5-win-x86_64 | OK | Aug 23 2024 |
R-4.5-linux-x86_64 | OK | Aug 23 2024 |
R-4.4-win-x86_64 | OK | Aug 23 2024 |
R-4.4-mac-x86_64 | OK | Aug 23 2024 |
R-4.4-mac-aarch64 | OK | Aug 23 2024 |
R-4.3-win-x86_64 | OK | Aug 23 2024 |
R-4.3-mac-x86_64 | OK | Aug 23 2024 |
R-4.3-mac-aarch64 | OK | Aug 23 2024 |
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.Rnw
usingutils::Sweave
on Aug 23 2024.Last update: 2015-12-21
Started: 2015-12-21
Spatio-Temporal Geostatistics using gstat
Rendered fromspatio-temporal-kriging.Rnw
usingutils::Sweave
on Aug 23 2024.Last update: 2016-12-22
Started: 2015-12-21
The meuse data set: a tutorial for the gstat R package
Rendered fromgstat.Rnw
usingutils::Sweave
on Aug 23 2024.Last update: 2022-02-28
Started: 2015-12-21
The pairwise relative semivariogram
Rendered fromprs.Rnw
usingutils::Sweave
on Aug 23 2024.Last update: 2015-12-21
Started: 2015-12-21