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InterpolateR: A Comprehensive Toolkit for Fast and Efficient SpatialInterpolation

Spatial interpolation toolkit designed for environmental and geospatial applications. It includes a range of methods, from traditional techniques to advanced machine learning approaches, ensuring accurate and efficient estimation of values in unobserved locations.

Version:1.4-3
Depends:R (≥ 4.4.0)
Imports:data.table,future.apply,future, stats,terra,pbapply,randomForest,qmap
Suggests:knitr,rmarkdown,testthat (≥ 3.0.0),covr,withr,ncdf4
Published:2025-09-04
DOI:10.32614/CRAN.package.InterpolateR
Author:Jonnathan LandiORCID iD [aut, cre, cph], Marco MogroORCID iD [aut]
Maintainer:Jonnathan Landi <jonnathan.landi at outlook.com>
BugReports:https://github.com/Jonnathan-Landi/InterpolateR/issues
License:GPL (≥ 3)
URL:https://github.com/Jonnathan-Landi/InterpolateR
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:InterpolateR results

Documentation:

Reference manual:InterpolateR.html ,InterpolateR.pdf
Vignettes:A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation (source,R code)

Downloads:

Package source: InterpolateR_1.4-3.tar.gz
Windows binaries: r-devel:InterpolateR_1.4-3.zip, r-release:InterpolateR_1.4-3.zip, r-oldrel:InterpolateR_1.4-3.zip
macOS binaries: r-release (arm64):InterpolateR_1.4-3.tgz, r-oldrel (arm64):InterpolateR_1.4-3.tgz, r-release (x86_64):InterpolateR_1.4-3.tgz, r-oldrel (x86_64):InterpolateR_1.4-3.tgz
Old sources: InterpolateR archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=InterpolateRto link to this page.


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