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constrainedKriging
View on CRAN: Click
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Download and install constrainedKriging package within the R console
Install from CRAN:
install.packages("constrainedKriging")
Install from Github:
library("remotes")
install_github("cran/constrainedKriging")
Install by package version:
library("remotes")
install_version("constrainedKriging", "0.2-11")
Attach the package and use:
library("constrainedKriging")
Maintained by
Andreas Papritz
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.constrainedKriging . constrainedKriging citation info . constrainedKriging results . constrainedKriging.pdf . constrainedKriging_0.2-11.tar.gz . constrainedKriging_0.2-11.zip . constrainedKriging_0.2-11.zip . constrainedKriging_0.2-11.zip . constrainedKriging_0.2-11.tgz . constrainedKriging_0.2-11.tgz . constrainedKriging_0.2-11.tgz . constrainedKriging_0.2-11.tgz . constrainedKriging_0.2-11.tgz . constrainedKriging_0.2-11.tgz . constrainedKriging archive . https://CRAN.R-project.org/package=constrainedKriging .
First Published: 2010-07-29
Latest Update: 2023-12-19
Description:
Provides functions for efficient computation of non-linear spatial predictions with local change of support (Hofer, C. and Papritz, A. (2011) "constrainedKriging: An R-package for customary, constrained and covariance-matching constrained point or block kriging" ). This package supplies functions for two-dimensional spatial interpolation by constrained (Cressie, N. (1993) "Aggregation in geostatistical problems" ), covariance-matching constrained (Aldworth, J. and Cressie, N. (2003) "Prediction of nonlinear spatial functionals" ) and universal (external drift) Kriging for points or blocks of any shape from data with a non-stationary mean function and an isotropic weakly stationary covariance function. The linear spatial interpolation methods, constrained and covariance-matching constrained Kriging, provide approximately unbiased prediction for non-linear target values under change of support. This package extends the range of tools for spatial predictions available in R and provides an alternative to conditional simulation for non-linear spatial prediction problems with local change of support.
How to cite:
Andreas Papritz (2010). constrainedKriging: Constrained, Covariance-Matching Constrained and Universal Point or Block Kriging. R package version 0.2-11, https://cran.r-project.org/web/packages/constrainedKriging. Accessed 04 Apr. 2025.
Previous versions and publish date:
0.1.0 (2010-07-29 11:13), 0.1.1 (2010-08-09 16:49), 0.1.2 (2010-08-17 07:06), 0.1.4 (2011-01-14 12:59), 0.1.5 (2011-08-10 11:22), 0.1.6 (2011-08-12 07:09), 0.1.7 (2012-04-24 17:08), 0.1.8 (2012-11-12 07:25), 0.1.9 (2012-12-24 11:42), 0.2-7 (2023-12-19 20:40), 0.2-8 (2024-08-24 22:00), 0.2-9 (2025-01-07 18:40), 0.2-10 (2025-02-01 21:20), 0.2.0 (2013-06-17 08:20), 0.2.1 (2013-06-21 08:13), 0.2.2 (2013-10-02 12:05), 0.2.3 (2014-05-26 16:06), 0.2.4 (2015-04-30 23:59)
Other packages that cited constrainedKriging R package
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Other R packages that constrainedKriging depends,
imports, suggests or enhances
Complete documentation for constrainedKriging
Functions, R codes and Examples using
the constrainedKriging R package
Some associated functions: CKrige . ckcolors . constrainedKriging-package . covmodel . internal . meuse.blocks . plot.preCKrigePolygons . preCKrige . preCKrigePoints-class . preCKrigePolygons-class .
Some associated R codes: AAA.R . Class-preCKrigePoints.R . Class-preCKrigePolygons.R . ck.colors.R . covmodlist.R . f.CorrelationFct.R . f.bb.cov.one.configuration.R . f.bbox.information.sfc.R . f.build.pixel.sfc.R . f.calc.P.R . f.calc.Q.R . f.covmat.support.R . f.kriging.functions.R . f.kriging.method.R . f.pixconfig.sfc.R . f.pixelcovmat.R . f.pixelgrid.sfc.R . f.point.block.cov.R . f.point.rec.covmat.R . f.points.CKrige.R . f.points.preCKrige.R . f.polygoncovmat.R . f.polygons.CKrige.R . f.polygons.preCKrige.R . f.pp.cov.R . f.preCKrige.check.and.test.R . f.row.dist.R . methods_CKrige.R . methods_preCKrige.R . methods_show_summary.R . plot.preCKrigePolygons.R . Full constrainedKriging package functions and examples
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