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gstat (version 2.0-2)

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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Version

Install

install.packages('gstat')

Monthly Downloads

15,389

Version

2.0-2

License

GPL (>= 2.0)

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Pull Requests

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Repository

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

Maintainer

Edzer Pebesma

Last Published

May 16th, 2019

Functions in gstat (2.0-2)

Fit a Variogram Model to a Sample Variogram

conditional/unconditional spatio-temporal simulation

Ordinary global Spatio-Temporal Kriging

Produce h-scatterplot

Spatial Interpolation Comparison 2004 data set: Natural Ambient Radioactivity

Plot Variogram Model Functions

vgm.panel.xyplot

panel functions for most of the variogram plots through lattice

Image Gridded Coordinates in Data Frame

Simulation based on circulant embedding

rearrange data frame for plotting with levelplot

Meuse river data set -- original, full data set

Kriging standard errors as function of grid spacing and block size

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

TransGaussian kriging using Box-Cox transforms

Spatial Interpolation Comparison 1997 data set: Swiss Rainfall

Plot map matrix of prediction error variances and covariances

Oxford soil samples

Multivariable Geostatistical Prediction and Simulation

Get or set progress indicator

Precomputed variogram for PM10 in data set air

Function that returns the covariances for areas

Walker Lake sample and exhaustive data sets

S<U+00FC>dliche Tullnerfeld data set

fit.variogram.reml

REML Fit Direct Variogram Partial Sills to Data

Calculate Sample or Residual Variogram or Variogram Cloud

Fulmaris glacialis data

fit.StVariogram

Fit a spatio-temporal sample variogram to a sample variogram

Fit a Linear Model of Coregionalization to a Multivariable Sample Variogram

Semivariance Values For a Given Variogram Model

Calculate contrasts from multivariable predictions

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

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

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

Meuse river altitude data set

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

Gstat Internal Functions

plot.gstatVariogram

Plot a sample variogram, and possibly a fitted model

Calculate Spatio-Temporal Sample Variogram

variogramSurface

Semivariance values for a given spatio-temporal variogram model

plot.pointPairs

Plot a point pairs, identified from a variogram cloud

Generate, or Add to Variogram Model

Constructing a spatio-temporal variogram

plot.variogramCloud

Plot and Identify Data Pairs on Sample Variogram Cloud

Ireland wind data, 1961-1978

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

Coal ash samples from a mine in Pennsylvania

fit.variogram.gls

GLS fitting of variogram parameters

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

Estimation of the spatio-temporal anisotropy

Create gstat objects, or subset it