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intamap
View on CRAN: Click
here
Download and install intamap package within the R console
Install from CRAN:
install.packages("intamap")
Install from Github:
library("remotes")
install_github("cran/intamap")
Install by package version:
library("remotes")
install_version("intamap", "1.5-7")
Attach the package and use:
library("intamap")
Maintained by
Jon Olav Skoien
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.intamap . intamap citation info . intamap results . intamap.pdf . intamap_1.5-7.tar.gz . intamap_1.5-7.zip . intamap_1.5-7.zip . intamap_1.5-7.zip . intamap_1.5-7.tgz . intamap_1.5-7.tgz . intamap_1.5-7.tgz . intamap_1.5-7.tgz . intamap archive . intamapInteractive . https://CRAN.R-project.org/package=intamap .
First Published: 2009-09-28
Latest Update: 2023-03-17
Description:
Geostatistical interpolation has traditionally been done by manually fitting a variogram and then interpolating. Here, we introduce classes and methods that can do this interpolation automatically. Pebesma et al (2010) gives an overview of the methods behind and possible usage .
How to cite:
Jon Olav Skoien (2009). intamap: Procedures for Automated Interpolation. R package version 1.5-7, https://cran.r-project.org/web/packages/intamap. Accessed 01 May. 2025.
Previous versions and publish date:
1.2-18 (2009-09-28 15:36), 1.3-1 (2009-11-19 17:32), 1.3-3 (2010-01-22 08:47), 1.3-4 (2010-02-15 18:05), 1.3-5 (2011-03-01 16:51), 1.3-8 (2011-03-15 17:41), 1.3-10 (2011-05-25 13:48), 1.3-11 (2011-06-15 20:02), 1.3-15 (2012-07-25 09:39), 1.3-17 (2013-02-06 16:49), 1.3-21 (2013-02-08 12:15), 1.3-23 (2013-02-19 10:20), 1.3-25 (2013-03-22 10:30), 1.3-27 (2013-04-19 17:18), 1.3-28 (2013-04-22 17:09), 1.3-31 (2013-08-19 11:36), 1.3-32 (2013-08-29 20:40), 1.3-34 (2013-10-28 18:04), 1.3-36 (2013-11-12 15:51), 1.3-37 (2013-11-25 15:26), 1.4-1 (2016-09-09 19:54), 1.4-9 (2018-05-02 15:38), 1.4-16 (2022-04-07 09:32), 1.5-6 (2023-03-17 16:40)
Other packages that cited intamap R package
View intamap citation profile
Other R packages that intamap depends,
imports, suggests or enhances
Complete documentation for intamap
Functions, R codes and Examples using
the intamap R package
Some associated functions: bayesCopula . blockPredict . checkSetup . coarsenGrid . conformProjections . copulaEstimation . createIntamapObject . estimateAnisotropy . estimateParameters . estimateTimeModel . generateTimeModels . getIntamapParams . getInterpolationMethodNames . intObs . intamap-package . intamapExampleObject . interpolate . methodParameters . plotIntamap . postProcess . preProcess . predictTime . rotateAnisotropicData . spatialPredict . timeModels . unbiasedKrige .
Some associated R codes: aggregation.R . checkSetup.R . common.R . default.R . estimateAnisotropy.R . getInterpolationMethodNames.R . getOutputTable.R . idw.R . init.R . initOld.R . interpolate.R . iwqsel.R . linearVariogram.R . pointKriging.R . spCopCorrel.R . spCopEstim.R . spCopPred.R . summary.R . time.R . transGaussian.R . unbiasedPoint.R . yamamoto.R . zzz.R . Full intamap package functions and examples
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