Package: gstat 2.1-2

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:Edzer Pebesma [aut, cre], Benedikt Graeler [aut]

gstat_2.1-2.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/r-spatial/gstat/issues

Uses libs:
  • openblas– Optimized BLAS
Datasets:
  • 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

9.71 score 1 stars 50 packages 4.6k scripts 19k downloads 138 mentions 42 exports 24 dependencies

Last updated 3 months agofrom:0957ff0466. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-linux-x86_64OKNov 05 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.Rnwusingutils::Sweaveon Nov 05 2024.

Last update: 2015-10-18
Started: 2013-09-03

Spatio-Temporal Geostatistics using gstat

Rendered fromspatio-temporal-kriging.Rnwusingutils::Sweaveon Nov 05 2024.

Last update: 2017-01-11
Started: 2015-06-05

The meuse data set: a tutorial for the gstat R package

Rendered fromgstat.Rnwusingutils::Sweaveon Nov 05 2024.

Last update: 2022-03-14
Started: 2013-09-03

The pairwise relative semivariogram

Rendered fromprs.Rnwusingutils::Sweaveon Nov 05 2024.

Last update: 2015-06-05
Started: 2013-09-03

Readme and manuals

Help Manual

Help pageTopics
Coal ash samples from a mine in Pennsylvaniacoalash
Spatio-temporal data set with rural background PM10 concentrations in Germany 2005DE_RB_2005
Estimation of the spatio-temporal anisotropyestiStAni
Extracting parameters and their names from a spatio-temporal variogram modelextractPar extractParNames
Fit a Linear Model of Coregionalization to a Multivariable Sample Variogramfit.lmc
Fit a spatio-temporal sample variogram to a sample variogramfit.StVariogram
Fit a Variogram Model to a Sample Variogramfit.variogram
GLS fitting of variogram parametersfit.variogram.gls
REML Fit Direct Variogram Partial Sills to Datafit.variogram.reml
Fulmaris glacialis datafulmar
Calculate contrasts from multivariable predictionsget.contr
Create gstat objects, or subset itgstat print.gstat [.gstat
Produce h-scatterplothscat
Image Gridded Coordinates in Data Frameimage image.data.frame xyz2img
Jura data setjura jura.grid jura.pred jura.val juragrid.dat prediction.dat transect.dat validation.dat
Simple, Ordinary or Universal, global or local, Point or Block Kriging, or simulation.idw idw,formula,formula-method idw,formula,sf-method idw,formula,Spatial-method idw,formula,ST-method idw-methods idw.locations idw.spatial idw0 krige krige,formula,formula-method krige,formula,NULL-method krige,formula,sf-method krige,formula,Spatial-method krige-methods krige.locations krige.spatial krige0
(co)kriging cross validation, n-fold or leave-one-outgstat.cv krige.cv krige.cv,formula,formula-method krige.cv,formula,sf-method krige.cv,formula,Spatial-method krige.cv.locations krige.cv.spatial
Simulation based on circulant embeddingkrigeSimCE
Ordinary global Spatio-Temporal Krigingkrige,formula,ST-method krigeST krigeSTTg
conditional/unconditional spatio-temporal simulationkrigeSTSimTB
TransGaussian kriging using Box-Cox transformskrigeTg
rearrange data frame for plotting with levelplotmap.to.lev
Meuse river data set - original, full data setmeuse.all
Meuse river altitude data setmeuse.alt
Grid for the NCP, the Dutch part of the North Seancp.grid
Kriging standard errors as function of grid spacing and block sizeossfim
Oxford soil samplesoxford
PCB138 measurements in sediment at the NCP, the Dutch part of the North Seapcb
Plot a sample variogram, and possibly a fitted modelplot.gstatVariogram plot.StVariogram plot.variogramMap
Plot a point pairs, identified from a variogram cloudplot.pointPairs
Plot and Identify Data Pairs on Sample Variogram Cloudplot.variogramCloud
Multivariable Geostatistical Prediction and Simulationpredict predict.gstat
Get or set progress indicatorget_gstat_progress set_gstat_progress
Plot Variogram Model Functionsshow.vgms
Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivitysic.grid sic.pred sic.test sic.train sic.val sic2004
Spatial Interpolation Comparison 1997 data set: Swiss Rainfalldemstd sic_full sic_obs
Plot map matrix of prediction error variances and covariancesspplot.vcov
Südliche Tullnerfeld data setChlorid92 tull tull36 TULLNREG
Calculate Sample or Residual Variogram or Variogram Cloudas.data.frame.variogramCloud print.gstatVariogram print.variogramCloud variogram variogram.default variogram.formula variogram.gstat
Semivariance Values For a Given Variogram ModelgetGammas variogramLine
Calculate Spatio-Temporal Sample VariogramvariogramST
Semivariance values for a given spatio-temporal variogram modelvariogramSurface
Generate, or Add to Variogram Modelas.vgm.variomodel plot.variogramModel print.variogramModel vgm
panel functions for most of the variogram plots through latticepanel.pointPairs vgm.panel.xyplot
point-point, point-area or area-area semivariancevgmArea
Function that returns the covariances for areasvgmAreaST
Constructing a spatio-temporal variogramvgmST
Precomputed variogram for PM10 in data set airvv
Walker Lake sample and exhaustive data setswalker walker.exh
Ireland wind data, 1961-1978wind wind.loc