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gstat (version 0.9-23)

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

19,561

Version

0.9-23

License

GPL

Maintainer

Edzer J Pebesma

Last Published

February 4th, 2025

Functions in gstat (0.9-23)

Meuse river altitude data set

Fit a Linear Model of Coregionalization to a Multivariable Sample Variogram

plot.variogramCloud

Plot and Identify Data Pairs on Sample Variogram Cloud

Image Gridded Coordinates in Data Frame

Fit a Variogram Model to a Sample Variogram

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

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

Meuse river data set -- original, full data set

Create gstat objects, or subset it

Gstat Internal Functions

Calculate Sample or Residual Variogram or Variogram Cloud

rearrange data frame for plotting with levelplot

plot.gstatVariogram

Plot a Sample Variogram

fit.variogram.reml

REML Fit Direct Variogram Partial Sills to Data

Generate, or Add to Variogram Model

Fulmaris glacialis data

Oxford soil samples

plot.pointPairs

Plot a point pairs, identified from a variogram cloud

Multivariable Geostatistical Prediction and Simulation

Semivariance Values For a Given Variogram Model

Kriging standard errors as function of grid spacing and block size

Meuse river data set

Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity

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

Walker Lake sample data set

Calculate contrasts from multivariable predictions

Plot Variogram Model Functions

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

Prediction Grid for Meuse Data Set