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spatialCovariance  

Computation of Spatial Covariance Matrices for Data on Rectangles
View on CRAN: Click here


Download and install spatialCovariance package within the R console
Install from CRAN:
install.packages("spatialCovariance")

Install from Github:
library("remotes")
install_github("cran/spatialCovariance")

Install by package version:
library("remotes")
install_version("spatialCovariance", "0.6-9")



Attach the package and use:
library("spatialCovariance")
Maintained by
David Clifford
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2004-04-27
Latest Update: 2015-07-08
Description:
Functions that compute the spatial covariance matrix for the matern and power classes of spatial models, for data that arise on rectangular units.This code can also be used for the change of support problem and for spatial data that arise on irregularly shaped regions like counties or zipcodes by laying a fine grid of rectangles and aggregating the integrals in a form of Riemann integration.
How to cite:
David Clifford (2004). spatialCovariance: Computation of Spatial Covariance Matrices for Data on Rectangles. R package version 0.6-9, https://cran.r-project.org/web/packages/spatialCovariance. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:07), 0.1 (2004-04-27 18:46), 0.2 (2004-06-15 19:17), 0.3 (2004-09-25 11:09), 0.4 (2005-04-12 10:41), 0.5 (2005-05-09 09:50), 0.6-4 (2009-02-13 09:19), 0.6-6.1 (2013-04-14 08:25), 0.6-6 (2011-10-17 07:56), 0.6-7 (2013-04-18 07:33), 0.6-8 (2013-04-19 06:21)
Other packages that cited spatialCovariance R package
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Other R packages that spatialCovariance depends, imports, suggests or enhances
Complete documentation for spatialCovariance
Functions, R codes and Examples using the spatialCovariance R package
Some associated functions: computeV . f . precompute . 
Some associated R codes: 11case.R . covarianceFunctions.R . hypergeometrics.R . ldt-analytic.apply.R . numericalIntegral.apply.R . oned-distance.simplified.R . oned.getV.R . oned.getV.precompute.R . oned.getV.update.R . power-analytic.apply.R .  Full spatialCovariance package functions and examples
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