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gstat (version 0.9-11)

multivariable 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 map plotting utility functions.

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Version

Install

install.packages('gstat')

Monthly Downloads

19,911

Version

0.9-11

License

GPL

Maintainer

Edzer J Pebesma

Last Published

February 4th, 2025

Functions in gstat (0.9-11)

Fit a Variogram Model to a Sample Variogram

point.in.polygon

do point(s) fall in a given polygon?

Gstat Internal Functions

rearrange data frame for plotting with levelplot

Fit a Linear Model of Coregionalization to a Multivariable Sample Variogram

Plot Variogram Model Functions

Image Gridded Coordinates in Data Frame

select points spatially

Generate, or Add to Variogram Model

Calculate contrasts from multivariable predictions

Multivariable Geostatistical Prediction and Simulation

Semivariance Values For a Given Variogram Model

blue-pink-yellow color scheme that prints well as grey tone

fit.variogram.reml

REML Fit Direct Variogram Partial Sills to Data

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

kriging cross validation, n-fold or leave-one-out

Calculate plot aspect ratio for geographic maps

Oxford soil samples

Kriging standard errors as function of grid spacing and block size

Meuse river data set

find point pairs with equal spatial coordinates

Plot a Sample Variogram

plot.variogram.cloud

Plot and Identify Data Pairs on Sample Variogram Cloud

Create a bubble plot of spatial data

Meuse river data set -- original, full data set

plot.point.pairs

Plot a point pairs, identified from a variogram cloud

Create gstat objects, or subset it

Calculate Sample or Residual Variogram or Variogram Cloud

Prediction Grid for Meuse Data Set