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gstat (version 2.1-0)

Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation

Description

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.

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Install

install.packages('gstat')

Monthly Downloads

20,315

Version

2.1-0

License

GPL (>= 2.0)

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Repository

https://github.com/r-spatial/gstat/

Maintainer

Last Published

October 19th, 2022

Functions in gstat (2.1-0)

Calculate contrasts from multivariable predictions

Gstat Internal Functions

Image Gridded Coordinates in Data Frame

Ordinary global Spatio-Temporal Kriging

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

Produce h-scatterplot

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

Create gstat objects, or subset it

conditional/unconditional spatio-temporal simulation

rearrange data frame for plotting with levelplot

Oxford soil samples

Simulation based on circulant embedding

TransGaussian kriging using Box-Cox transforms

Meuse river data set -- original, full data set

Kriging standard errors as function of grid spacing and block size

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

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

Meuse river altitude data set

plot.gstatVariogram

Plot a sample variogram, and possibly a fitted model

plot.variogramCloud

Plot and Identify Data Pairs on Sample Variogram Cloud

Plot Variogram Model Functions

Südliche Tullnerfeld data set

Get or set progress indicator

Plot map matrix of prediction error variances and covariances

Multivariable Geostatistical Prediction and Simulation

Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity

Spatial Interpolation Comparison 1997 data set: Swiss Rainfall

plot.pointPairs

Plot a point pairs, identified from a variogram cloud

Calculate Sample or Residual Variogram or Variogram Cloud

Walker Lake sample and exhaustive data sets

Function that returns the covariances for areas

Precomputed variogram for PM10 in data set air

vgm.panel.xyplot

panel functions for most of the variogram plots through lattice

point-point, point-area or area-area semivariance

Calculate Spatio-Temporal Sample Variogram

Generate, or Add to Variogram Model

variogramSurface

Semivariance values for a given spatio-temporal variogram model

Constructing a spatio-temporal variogram

Semivariance Values For a Given Variogram Model

Ireland wind data, 1961-1978

Fulmaris glacialis data

Extracting parameters and their names from a spatio-temporal variogram model

Estimation of the spatio-temporal anisotropy

Fit a Variogram Model to a Sample Variogram

Coal ash samples from a mine in Pennsylvania

fit.variogram.gls

GLS fitting of variogram parameters

Fit a Linear Model of Coregionalization to a Multivariable Sample Variogram

Spatio-temporal data set with rural background PM10 concentrations in Germany 2005

fit.variogram.reml

REML Fit Direct Variogram Partial Sills to Data

fit.StVariogram

Fit a spatio-temporal sample variogram to a sample variogram