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gstat (version 0.9-34)

geostatistical modelling, prediction and simulation

Description

variogram modelling; simple, ordinary and universal point or block (co)kriging, sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions.

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Version

Install

install.packages('gstat')

Monthly Downloads

25,498

Version

0.9-34

License

GPL

Maintainer

Edzer J Pebesma

Last Published

February 13th, 2026

Functions in gstat (0.9-34)

Meuse river data set -- original, full data set

Fit a Linear Model of Coregionalization to a Multivariable Sample Variogram

plot.pointPairs

Plot a point pairs, identified from a variogram cloud

Meuse river altitude data set

Fulmaris glacialis data

Simple, Ordinary or Universal, global or local, Point or Block Kriging, or simulation.

Multivariable Geostatistical Prediction and Simulation

Create gstat objects, or subset it

Fit a Variogram Model to a Sample Variogram

rearrange data frame for plotting with levelplot

fit.variogram.reml

REML Fit Direct Variogram Partial Sills to Data

Plot map matrix of prediction error variances and covariances

Kriging standard errors as function of grid spacing and block size

Image Gridded Coordinates in Data Frame

plot.gstatVariogram

Plot a Sample Variogram

Walker Lake sample data set

Calculate Sample or Residual Variogram or Variogram Cloud

Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity

Grid for the NCP, the Dutch part of the North Sea

Calculate contrasts from multivariable predictions

plot.variogramCloud

Plot and Identify Data Pairs on Sample Variogram Cloud

Plot Variogram Model Functions

PCB138 measurements in sediment at the NCP, the Dutch part of the North Sea

Semivariance Values For a Given Variogram Model

Generate, or Add to Variogram Model

Oxford soil samples

(co)kriging cross validation, n-fold or leave-one-out

Gstat Internal Functions